Overview

Dataset statistics

Number of variables257
Number of observations1000
Missing cells1456
Missing cells (%)0.6%
Total size in memory16.6 MiB
Average record size in memory17.0 KiB

Variable types

Numeric1
Text255
Unsupported1

Alerts

year_ending has constant value ""Constant
national_median_energy_star has constant value ""Constant
fuel_oil_1_use_kbtu has constant value ""Constant
kerosene_use_kbtu has constant value ""Constant
propane_use_kbtu has constant value ""Constant
district_hot_water_use_kbtu has constant value ""Constant
district_chilled_water_use has constant value ""Constant
electricity_use_generated has constant value ""Constant
electricity_use_generated_1 has constant value ""Constant
electricity_use_generated_2 has constant value ""Constant
green_power_onsite_kwh has constant value ""Constant
avoided_emissions_onsite has constant value ""Constant
percent_of_recs_retained has constant value ""Constant
percent_of_total_electricity has constant value ""Constant
difference_from_national_2 has constant value ""Constant
costar_property_id has constant value ""Constant
automobile_dealership_gross has constant value ""Constant
bar_nightclub_gross_floor has constant value ""Constant
college_university_gross has constant value ""Constant
college_university_number has constant value ""Constant
convenience_store_with_gas has constant value ""Constant
convention_center_gross_floor has constant value ""Constant
courthouse_gross_floor_area has constant value ""Constant
data_center_pue has constant value ""Constant
data_center_national_median has constant value ""Constant
enclosed_mall_gross_floor has constant value ""Constant
energy_power_station_gross has constant value ""Constant
laboratory_gross_floor_area has constant value ""Constant
library_gross_floor_area has constant value ""Constant
mailing_center_post_office has constant value ""Constant
performing_arts_gross_floor has constant value ""Constant
race_track_gross_floor_area has constant value ""Constant
repair_services_vehicle_shoe has constant value ""Constant
self_storage_facility_gross has constant value ""Constant
strip_mall_gross_floor_area has constant value ""Constant
transportation_terminal has constant value ""Constant
veterinary_office_gross_floor has constant value ""Constant
vocational_school_gross_floor has constant value ""Constant
wholesale_club_supercenter has constant value ""Constant
estimated_data_flag_1 has constant value ""Constant
alert_gross_floor_area_is has constant value ""Constant
alert_property_has_no_uses has constant value ""Constant
water_current_date has 1000 (100.0%) missing valuesMissing
borough has 64 (6.4%) missing valuesMissing
latitude has 64 (6.4%) missing valuesMissing
longitude has 64 (6.4%) missing valuesMissing
community_board has 64 (6.4%) missing valuesMissing
council_district has 64 (6.4%) missing valuesMissing
census_tract has 64 (6.4%) missing valuesMissing
nta has 64 (6.4%) missing valuesMissing
0 has unique valuesUnique
property_id has unique valuesUnique
property_name has unique valuesUnique
water_current_date is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-09 20:53:04.003763
Analysis finished2023-12-09 20:53:14.349678
Duration10.35 seconds
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

0
Real number (ℝ)

UNIQUE 

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean500.5
Minimum1
Maximum1000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.9 KiB
2023-12-09T20:53:14.481462image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile50.95
Q1250.75
median500.5
Q3750.25
95-th percentile950.05
Maximum1000
Range999
Interquartile range (IQR)499.5

Descriptive statistics

Standard deviation288.8194361
Coefficient of variation (CV)0.5770618104
Kurtosis-1.2
Mean500.5
Median Absolute Deviation (MAD)250
Skewness0
Sum500500
Variance83416.66667
MonotonicityStrictly increasing
2023-12-09T20:53:14.639749image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
672 1
 
0.1%
659 1
 
0.1%
660 1
 
0.1%
661 1
 
0.1%
662 1
 
0.1%
663 1
 
0.1%
664 1
 
0.1%
665 1
 
0.1%
666 1
 
0.1%
Other values (990) 990
99.0%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
ValueCountFrequency (%)
1000 1
0.1%
999 1
0.1%
998 1
0.1%
997 1
0.1%
996 1
0.1%

property_id
Text

UNIQUE 

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size62.6 KiB
2023-12-09T20:53:15.057772image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length7
Median length7
Mean length6.984
Min length4

Characters and Unicode

Total characters6984
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1000 ?
Unique (%)100.0%

Sample

1st row2659942
2nd row3287077
3rd row2685891
4th row2664118
5th row2674133
ValueCountFrequency (%)
2771736 1
 
0.1%
4004561 1
 
0.1%
2817915 1
 
0.1%
2813906 1
 
0.1%
4035088 1
 
0.1%
3935628 1
 
0.1%
2926719 1
 
0.1%
2945307 1
 
0.1%
3878205 1
 
0.1%
2800328 1
 
0.1%
Other values (990) 990
99.0%
2023-12-09T20:53:15.627153image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1122
16.1%
4 894
12.8%
3 774
11.1%
7 734
10.5%
6 660
9.5%
1 627
9.0%
0 602
8.6%
5 549
7.9%
8 524
7.5%
9 498
7.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6984
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1122
16.1%
4 894
12.8%
3 774
11.1%
7 734
10.5%
6 660
9.5%
1 627
9.0%
0 602
8.6%
5 549
7.9%
8 524
7.5%
9 498
7.1%

Most occurring scripts

ValueCountFrequency (%)
Common 6984
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 1122
16.1%
4 894
12.8%
3 774
11.1%
7 734
10.5%
6 660
9.5%
1 627
9.0%
0 602
8.6%
5 549
7.9%
8 524
7.5%
9 498
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6984
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1122
16.1%
4 894
12.8%
3 774
11.1%
7 734
10.5%
6 660
9.5%
1 627
9.0%
0 602
8.6%
5 549
7.9%
8 524
7.5%
9 498
7.1%

property_name
Text

UNIQUE 

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size76.5 KiB
2023-12-09T20:53:16.112690image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length50
Median length41
Mean length21.166
Min length3

Characters and Unicode

Total characters21166
Distinct characters74
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1000 ?
Unique (%)100.0%

Sample

1st rowCommerce-Halsey, LLC
2nd row3075 Richmond Terrace
3rd rowOmni Berkshire Place Hotel
4th rowSovereign - 425 East 58th Street
5th rowLightstone - 98th St Beach Channel Drive
ValueCountFrequency (%)
150
 
4.0%
street 142
 
3.8%
llc 114
 
3.0%
avenue 100
 
2.7%
ave 100
 
2.7%
west 71
 
1.9%
realty 64
 
1.7%
bldg 52
 
1.4%
corp 50
 
1.3%
east 49
 
1.3%
Other values (1506) 2846
76.1%
2023-12-09T20:53:16.756688image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2741
 
13.0%
e 1681
 
7.9%
t 1122
 
5.3%
r 914
 
4.3%
a 872
 
4.1%
n 783
 
3.7%
o 760
 
3.6%
s 657
 
3.1%
1 582
 
2.7%
l 562
 
2.7%
Other values (64) 10492
49.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10631
50.2%
Uppercase Letter 4012
 
19.0%
Decimal Number 3106
 
14.7%
Space Separator 2741
 
13.0%
Dash Punctuation 292
 
1.4%
Other Punctuation 227
 
1.1%
Open Punctuation 78
 
0.4%
Close Punctuation 78
 
0.4%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1681
15.8%
t 1122
10.6%
r 914
 
8.6%
a 872
 
8.2%
n 783
 
7.4%
o 760
 
7.1%
s 657
 
6.2%
l 562
 
5.3%
i 528
 
5.0%
d 411
 
3.9%
Other values (16) 2341
22.0%
Uppercase Letter
ValueCountFrequency (%)
S 420
 
10.5%
A 418
 
10.4%
C 409
 
10.2%
L 321
 
8.0%
E 276
 
6.9%
H 217
 
5.4%
R 214
 
5.3%
T 208
 
5.2%
B 182
 
4.5%
W 170
 
4.2%
Other values (16) 1177
29.3%
Decimal Number
ValueCountFrequency (%)
1 582
18.7%
0 399
12.8%
2 378
12.2%
3 339
10.9%
5 310
10.0%
4 302
9.7%
7 228
 
7.3%
6 216
 
7.0%
8 193
 
6.2%
9 159
 
5.1%
Other Punctuation
ValueCountFrequency (%)
. 109
48.0%
, 40
 
17.6%
# 38
 
16.7%
/ 19
 
8.4%
& 15
 
6.6%
' 5
 
2.2%
\ 1
 
0.4%
Space Separator
ValueCountFrequency (%)
2741
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 292
100.0%
Open Punctuation
ValueCountFrequency (%)
( 78
100.0%
Close Punctuation
ValueCountFrequency (%)
) 78
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 14643
69.2%
Common 6523
30.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1681
 
11.5%
t 1122
 
7.7%
r 914
 
6.2%
a 872
 
6.0%
n 783
 
5.3%
o 760
 
5.2%
s 657
 
4.5%
l 562
 
3.8%
i 528
 
3.6%
S 420
 
2.9%
Other values (42) 6344
43.3%
Common
ValueCountFrequency (%)
2741
42.0%
1 582
 
8.9%
0 399
 
6.1%
2 378
 
5.8%
3 339
 
5.2%
5 310
 
4.8%
4 302
 
4.6%
- 292
 
4.5%
7 228
 
3.5%
6 216
 
3.3%
Other values (12) 736
 
11.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21166
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2741
 
13.0%
e 1681
 
7.9%
t 1122
 
5.3%
r 914
 
4.3%
a 872
 
4.1%
n 783
 
3.7%
o 760
 
3.6%
s 657
 
3.1%
1 582
 
2.7%
l 562
 
2.7%
Other values (64) 10492
49.6%
Distinct7
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size88.7 KiB
2023-12-09T20:53:16.963100image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length35
Median length35
Mean length33.684
Min length7

Characters and Unicode

Total characters33684
Distinct characters29
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Applicable: Standalone Property
2nd rowNot Applicable: Standalone Property
3rd rowNot Applicable: Standalone Property
4th rowNot Applicable: Standalone Property
5th rowNot Applicable: Standalone Property
ValueCountFrequency (%)
not 953
24.7%
applicable 953
24.7%
standalone 953
24.7%
property 953
24.7%
4440047 13
 
0.3%
4442823 13
 
0.3%
4442227 8
 
0.2%
4442829 6
 
0.2%
3615313 4
 
0.1%
4442836 3
 
0.1%
2023-12-09T20:53:17.282872image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 2859
 
8.5%
2859
 
8.5%
p 2859
 
8.5%
l 2859
 
8.5%
a 2859
 
8.5%
e 2859
 
8.5%
o 2859
 
8.5%
n 1906
 
5.7%
r 1906
 
5.7%
S 953
 
2.8%
Other values (19) 8906
26.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 25731
76.4%
Uppercase Letter 3812
 
11.3%
Space Separator 2859
 
8.5%
Other Punctuation 953
 
2.8%
Decimal Number 329
 
1.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 2859
11.1%
p 2859
11.1%
l 2859
11.1%
a 2859
11.1%
e 2859
11.1%
o 2859
11.1%
n 1906
7.4%
r 1906
7.4%
y 953
 
3.7%
d 953
 
3.7%
Other values (3) 2859
11.1%
Decimal Number
ValueCountFrequency (%)
4 142
43.2%
2 65
19.8%
3 28
 
8.5%
0 26
 
7.9%
8 22
 
6.7%
7 21
 
6.4%
1 8
 
2.4%
6 7
 
2.1%
9 6
 
1.8%
5 4
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
S 953
25.0%
P 953
25.0%
N 953
25.0%
A 953
25.0%
Space Separator
ValueCountFrequency (%)
2859
100.0%
Other Punctuation
ValueCountFrequency (%)
: 953
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 29543
87.7%
Common 4141
 
12.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 2859
9.7%
p 2859
9.7%
l 2859
9.7%
a 2859
9.7%
e 2859
9.7%
o 2859
9.7%
n 1906
 
6.5%
r 1906
 
6.5%
S 953
 
3.2%
y 953
 
3.2%
Other values (7) 6671
22.6%
Common
ValueCountFrequency (%)
2859
69.0%
: 953
 
23.0%
4 142
 
3.4%
2 65
 
1.6%
3 28
 
0.7%
0 26
 
0.6%
8 22
 
0.5%
7 21
 
0.5%
1 8
 
0.2%
6 7
 
0.2%
Other values (2) 10
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33684
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 2859
 
8.5%
2859
 
8.5%
p 2859
 
8.5%
l 2859
 
8.5%
a 2859
 
8.5%
e 2859
 
8.5%
o 2859
 
8.5%
n 1906
 
5.7%
r 1906
 
5.7%
S 953
 
2.8%
Other values (19) 8906
26.4%
Distinct7
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size89.6 KiB
2023-12-09T20:53:17.489461image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length40
Median length35
Mean length34.636
Min length25

Characters and Unicode

Total characters34636
Distinct characters34
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Applicable: Standalone Property
2nd rowNot Applicable: Standalone Property
3rd rowNot Applicable: Standalone Property
4th rowNot Applicable: Standalone Property
5th rowNot Applicable: Standalone Property
ValueCountFrequency (%)
not 953
23.8%
applicable 953
23.8%
standalone 953
23.8%
property 953
23.8%
housing 43
 
1.1%
company 43
 
1.1%
inc 43
 
1.1%
third 13
 
0.3%
second 13
 
0.3%
first 8
 
0.2%
Other values (8) 33
 
0.8%
2023-12-09T20:53:17.824346image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3008
 
8.7%
o 2972
 
8.6%
a 2914
 
8.4%
p 2902
 
8.4%
e 2896
 
8.4%
t 2888
 
8.3%
l 2867
 
8.3%
n 2064
 
6.0%
r 1949
 
5.6%
i 1028
 
3.0%
Other values (24) 9148
26.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 26640
76.9%
Uppercase Letter 4004
 
11.6%
Space Separator 3008
 
8.7%
Other Punctuation 980
 
2.8%
Decimal Number 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 2972
11.2%
a 2914
10.9%
p 2902
10.9%
e 2896
10.9%
t 2888
10.8%
l 2867
10.8%
n 2064
7.7%
r 1949
7.3%
i 1028
 
3.9%
c 1013
 
3.8%
Other values (9) 3147
11.8%
Uppercase Letter
ValueCountFrequency (%)
S 970
24.2%
P 953
23.8%
N 953
23.8%
A 953
23.8%
C 51
 
1.3%
H 43
 
1.1%
I 43
 
1.1%
F 17
 
0.4%
T 13
 
0.3%
M 4
 
0.1%
Other Punctuation
ValueCountFrequency (%)
: 953
97.2%
. 27
 
2.8%
Space Separator
ValueCountFrequency (%)
3008
100.0%
Decimal Number
ValueCountFrequency (%)
1 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 30644
88.5%
Common 3992
 
11.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 2972
9.7%
a 2914
9.5%
p 2902
9.5%
e 2896
9.5%
t 2888
9.4%
l 2867
9.4%
n 2064
 
6.7%
r 1949
 
6.4%
i 1028
 
3.4%
c 1013
 
3.3%
Other values (20) 7151
23.3%
Common
ValueCountFrequency (%)
3008
75.4%
: 953
 
23.9%
. 27
 
0.7%
1 4
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 34636
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3008
 
8.7%
o 2972
 
8.6%
a 2914
 
8.4%
p 2902
 
8.4%
e 2896
 
8.4%
t 2888
 
8.3%
l 2867
 
8.3%
n 2064
 
6.0%
r 1949
 
5.6%
i 1028
 
3.0%
Other values (24) 9148
26.4%

year_ending
Text

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size78.2 KiB
2023-12-09T20:53:18.005819image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters23000
Distinct characters9
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2015-12-31T00:00:00.000
2nd row2015-12-31T00:00:00.000
3rd row2015-12-31T00:00:00.000
4th row2015-12-31T00:00:00.000
5th row2015-12-31T00:00:00.000
ValueCountFrequency (%)
2015-12-31t00:00:00.000 1000
100.0%
2023-12-09T20:53:18.295229image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10000
43.5%
1 3000
 
13.0%
2 2000
 
8.7%
- 2000
 
8.7%
: 2000
 
8.7%
5 1000
 
4.3%
3 1000
 
4.3%
T 1000
 
4.3%
. 1000
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17000
73.9%
Other Punctuation 3000
 
13.0%
Dash Punctuation 2000
 
8.7%
Uppercase Letter 1000
 
4.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10000
58.8%
1 3000
 
17.6%
2 2000
 
11.8%
5 1000
 
5.9%
3 1000
 
5.9%
Other Punctuation
ValueCountFrequency (%)
: 2000
66.7%
. 1000
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 2000
100.0%
Uppercase Letter
ValueCountFrequency (%)
T 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22000
95.7%
Latin 1000
 
4.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10000
45.5%
1 3000
 
13.6%
2 2000
 
9.1%
- 2000
 
9.1%
: 2000
 
9.1%
5 1000
 
4.5%
3 1000
 
4.5%
. 1000
 
4.5%
Latin
ValueCountFrequency (%)
T 1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10000
43.5%
1 3000
 
13.0%
2 2000
 
8.7%
- 2000
 
8.7%
: 2000
 
8.7%
5 1000
 
4.3%
3 1000
 
4.3%
T 1000
 
4.3%
. 1000
 
4.3%
Distinct926
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Memory size66.8 KiB
2023-12-09T20:53:18.635012image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.265
Min length10

Characters and Unicode

Total characters11265
Distinct characters23
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique906 ?
Unique (%)90.6%

Sample

1st row2-03852-0001
2nd row5012080004
3rd row1-01288-0011
4th row1-01370-0015
5th row4-16155-0021
ValueCountFrequency (%)
not 16
 
1.6%
available 16
 
1.6%
4-06790-0001 13
 
1.3%
4-06792-0600 13
 
1.3%
4-06789-0015 8
 
0.8%
4-06791-0001 6
 
0.6%
4082760020 4
 
0.4%
4-08358-0001 4
 
0.4%
4082760002 3
 
0.3%
4-06791-0025 3
 
0.3%
Other values (917) 930
91.5%
2023-12-09T20:53:19.116557image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3712
33.0%
1 1393
 
12.4%
- 1216
 
10.8%
2 853
 
7.6%
3 802
 
7.1%
4 678
 
6.0%
5 586
 
5.2%
7 494
 
4.4%
8 490
 
4.3%
6 485
 
4.3%
Other values (13) 556
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9840
87.4%
Dash Punctuation 1216
 
10.8%
Lowercase Letter 160
 
1.4%
Uppercase Letter 32
 
0.3%
Space Separator 16
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3712
37.7%
1 1393
 
14.2%
2 853
 
8.7%
3 802
 
8.2%
4 678
 
6.9%
5 586
 
6.0%
7 494
 
5.0%
8 490
 
5.0%
6 485
 
4.9%
9 347
 
3.5%
Lowercase Letter
ValueCountFrequency (%)
a 32
20.0%
l 32
20.0%
o 16
10.0%
e 16
10.0%
b 16
10.0%
i 16
10.0%
v 16
10.0%
t 16
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 16
50.0%
A 16
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 1216
100.0%
Space Separator
ValueCountFrequency (%)
16
100.0%
Other Punctuation
ValueCountFrequency (%)
: 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11073
98.3%
Latin 192
 
1.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3712
33.5%
1 1393
 
12.6%
- 1216
 
11.0%
2 853
 
7.7%
3 802
 
7.2%
4 678
 
6.1%
5 586
 
5.3%
7 494
 
4.5%
8 490
 
4.4%
6 485
 
4.4%
Other values (3) 364
 
3.3%
Latin
ValueCountFrequency (%)
a 32
16.7%
l 32
16.7%
N 16
8.3%
o 16
8.3%
e 16
8.3%
b 16
8.3%
i 16
8.3%
v 16
8.3%
A 16
8.3%
t 16
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11265
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3712
33.0%
1 1393
 
12.4%
- 1216
 
10.8%
2 853
 
7.6%
3 802
 
7.1%
4 678
 
6.0%
5 586
 
5.2%
7 494
 
4.4%
8 490
 
4.3%
6 485
 
4.3%
Other values (13) 556
 
4.9%
Distinct922
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Memory size71.6 KiB
2023-12-09T20:53:19.383966image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length703
Median length7
Mean length16.219
Min length6

Characters and Unicode

Total characters16219
Distinct characters24
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique914 ?
Unique (%)91.4%

Sample

1st row2027286
2nd row5157635
3rd row1081151;1081152
4th row1040637
5th row4445407
ValueCountFrequency (%)
not 39
 
3.7%
available 39
 
3.7%
4455379 13
 
1.2%
4455438 13
 
1.2%
4451548 8
 
0.8%
4451568 6
 
0.6%
4440184 3
 
0.3%
1023389 2
 
0.2%
1027095 2
 
0.2%
3337168 2
 
0.2%
Other values (929) 929
88.0%
2023-12-09T20:53:19.809587image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 3335
20.6%
5 1844
11.4%
0 1713
10.6%
1 1684
10.4%
3 1408
8.7%
; 1119
 
6.9%
6 1076
 
6.6%
8 1022
 
6.3%
2 909
 
5.6%
7 819
 
5.0%
Other values (14) 1290
 
8.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 14569
89.8%
Other Punctuation 1120
 
6.9%
Lowercase Letter 390
 
2.4%
Uppercase Letter 78
 
0.5%
Space Separator 56
 
0.3%
Dash Punctuation 6
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 3335
22.9%
5 1844
12.7%
0 1713
11.8%
1 1684
11.6%
3 1408
9.7%
6 1076
 
7.4%
8 1022
 
7.0%
2 909
 
6.2%
7 819
 
5.6%
9 759
 
5.2%
Lowercase Letter
ValueCountFrequency (%)
a 78
20.0%
l 78
20.0%
o 39
10.0%
e 39
10.0%
b 39
10.0%
i 39
10.0%
v 39
10.0%
t 39
10.0%
Other Punctuation
ValueCountFrequency (%)
; 1119
99.9%
: 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
N 39
50.0%
A 39
50.0%
Space Separator
ValueCountFrequency (%)
56
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15751
97.1%
Latin 468
 
2.9%

Most frequent character per script

Common
ValueCountFrequency (%)
4 3335
21.2%
5 1844
11.7%
0 1713
10.9%
1 1684
10.7%
3 1408
8.9%
; 1119
 
7.1%
6 1076
 
6.8%
8 1022
 
6.5%
2 909
 
5.8%
7 819
 
5.2%
Other values (4) 822
 
5.2%
Latin
ValueCountFrequency (%)
a 78
16.7%
l 78
16.7%
N 39
8.3%
o 39
8.3%
e 39
8.3%
b 39
8.3%
i 39
8.3%
v 39
8.3%
A 39
8.3%
t 39
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16219
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 3335
20.6%
5 1844
11.4%
0 1713
10.6%
1 1684
10.4%
3 1408
8.7%
; 1119
 
6.9%
6 1076
 
6.6%
8 1022
 
6.3%
2 909
 
5.6%
7 819
 
5.0%
Other values (14) 1290
 
8.0%
Distinct995
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size73.4 KiB
2023-12-09T20:53:20.290600image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length41
Median length31
Mean length18.061
Min length7

Characters and Unicode

Total characters18061
Distinct characters69
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique990 ?
Unique (%)99.0%

Sample

1st row2500 Halsey Street
2nd row3035 Richmond Terrace
3rd row21 EAST 52 STREET
4th row425 East 58th Street
5th row319 Beach 98th Street
ValueCountFrequency (%)
street 354
 
10.4%
avenue 198
 
5.8%
ave 168
 
4.9%
west 124
 
3.7%
east 92
 
2.7%
st 87
 
2.6%
ocean 32
 
0.9%
parkway 31
 
0.9%
30
 
0.9%
e 28
 
0.8%
Other values (1237) 2252
66.3%
2023-12-09T20:53:20.922212image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2415
 
13.4%
e 1666
 
9.2%
t 1351
 
7.5%
1 854
 
4.7%
r 726
 
4.0%
a 586
 
3.2%
n 584
 
3.2%
2 557
 
3.1%
0 552
 
3.1%
5 533
 
3.0%
Other values (59) 8237
45.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8149
45.1%
Decimal Number 4488
24.8%
Uppercase Letter 2593
 
14.4%
Space Separator 2415
 
13.4%
Dash Punctuation 265
 
1.5%
Other Punctuation 149
 
0.8%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1666
20.4%
t 1351
16.6%
r 726
8.9%
a 586
 
7.2%
n 584
 
7.2%
s 429
 
5.3%
v 412
 
5.1%
o 372
 
4.6%
h 325
 
4.0%
u 260
 
3.2%
Other values (15) 1438
17.6%
Uppercase Letter
ValueCountFrequency (%)
S 530
20.4%
A 442
17.0%
E 320
12.3%
W 196
 
7.6%
T 186
 
7.2%
R 130
 
5.0%
P 114
 
4.4%
B 92
 
3.5%
C 73
 
2.8%
H 67
 
2.6%
Other values (15) 443
17.1%
Decimal Number
ValueCountFrequency (%)
1 854
19.0%
2 557
12.4%
0 552
12.3%
5 533
11.9%
6 425
9.5%
4 424
9.4%
3 413
9.2%
7 287
 
6.4%
8 222
 
4.9%
9 221
 
4.9%
Other Punctuation
ValueCountFrequency (%)
. 106
71.1%
/ 37
 
24.8%
, 3
 
2.0%
; 2
 
1.3%
& 1
 
0.7%
Space Separator
ValueCountFrequency (%)
2415
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 265
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10742
59.5%
Common 7319
40.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1666
15.5%
t 1351
 
12.6%
r 726
 
6.8%
a 586
 
5.5%
n 584
 
5.4%
S 530
 
4.9%
A 442
 
4.1%
s 429
 
4.0%
v 412
 
3.8%
o 372
 
3.5%
Other values (40) 3644
33.9%
Common
ValueCountFrequency (%)
2415
33.0%
1 854
 
11.7%
2 557
 
7.6%
0 552
 
7.5%
5 533
 
7.3%
6 425
 
5.8%
4 424
 
5.8%
3 413
 
5.6%
7 287
 
3.9%
- 265
 
3.6%
Other values (9) 594
 
8.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18061
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2415
 
13.4%
e 1666
 
9.2%
t 1351
 
7.5%
1 854
 
4.7%
r 726
 
4.0%
a 586
 
3.2%
n 584
 
3.2%
2 557
 
3.1%
0 552
 
3.1%
5 533
 
3.0%
Other values (59) 8237
45.6%
Distinct19
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size68.8 KiB
2023-12-09T20:53:21.179714image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length37
Median length13
Mean length13.37
Min length2

Characters and Unicode

Total characters13370
Distinct characters56
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)1.6%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th row320 Beach 100th Street
ValueCountFrequency (%)
not 971
47.3%
available 971
47.3%
multiple 13
 
0.6%
bldg 13
 
0.6%
id 13
 
0.6%
addresses-see 12
 
0.6%
unique 12
 
0.6%
st 4
 
0.2%
attn 3
 
0.1%
plant 3
 
0.1%
Other values (33) 40
 
1.9%
2023-12-09T20:53:21.568771image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1988
14.9%
a 1952
14.6%
e 1066
8.0%
1055
7.9%
t 1006
7.5%
i 1005
7.5%
A 989
7.4%
o 984
7.4%
v 973
7.3%
N 971
7.3%
Other values (46) 1381
10.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10178
76.1%
Uppercase Letter 2076
 
15.5%
Space Separator 1055
 
7.9%
Decimal Number 38
 
0.3%
Dash Punctuation 14
 
0.1%
Other Punctuation 9
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1988
19.5%
a 1952
19.2%
e 1066
10.5%
t 1006
9.9%
i 1005
9.9%
o 984
9.7%
v 973
9.6%
b 971
9.5%
d 43
 
0.4%
s 40
 
0.4%
Other values (13) 150
 
1.5%
Uppercase Letter
ValueCountFrequency (%)
A 989
47.6%
N 971
46.8%
S 21
 
1.0%
B 16
 
0.8%
D 15
 
0.7%
U 13
 
0.6%
I 13
 
0.6%
M 13
 
0.6%
E 6
 
0.3%
P 5
 
0.2%
Other values (7) 14
 
0.7%
Decimal Number
ValueCountFrequency (%)
3 9
23.7%
0 7
18.4%
2 7
18.4%
5 4
10.5%
1 3
 
7.9%
8 3
 
7.9%
6 2
 
5.3%
7 1
 
2.6%
4 1
 
2.6%
9 1
 
2.6%
Other Punctuation
ValueCountFrequency (%)
. 4
44.4%
: 3
33.3%
; 1
 
11.1%
# 1
 
11.1%
Space Separator
ValueCountFrequency (%)
1055
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12254
91.7%
Common 1116
 
8.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1988
16.2%
a 1952
15.9%
e 1066
8.7%
t 1006
8.2%
i 1005
8.2%
A 989
8.1%
o 984
8.0%
v 973
7.9%
N 971
7.9%
b 971
7.9%
Other values (30) 349
 
2.8%
Common
ValueCountFrequency (%)
1055
94.5%
- 14
 
1.3%
3 9
 
0.8%
0 7
 
0.6%
2 7
 
0.6%
5 4
 
0.4%
. 4
 
0.4%
1 3
 
0.3%
8 3
 
0.3%
: 3
 
0.3%
Other values (6) 7
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13370
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1988
14.9%
a 1952
14.6%
e 1066
8.0%
1055
7.9%
t 1006
7.5%
i 1005
7.5%
A 989
7.4%
o 984
7.4%
v 973
7.3%
N 971
7.3%
Other values (46) 1381
10.3%

city
Text

Distinct55
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size63.4 KiB
2023-12-09T20:53:21.770448image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length16
Median length8
Mean length7.838
Min length2

Characters and Unicode

Total characters7838
Distinct characters50
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)2.7%

Sample

1st rowBronx
2nd rowStaten Island
3rd rowNEW YORK
4th rowNew York
5th rowQueens
ValueCountFrequency (%)
york 431
28.6%
new 430
28.6%
brooklyn 221
14.7%
bronx 130
 
8.6%
flushing 61
 
4.1%
queens 38
 
2.5%
little 25
 
1.7%
neck 25
 
1.7%
island 20
 
1.3%
city 19
 
1.3%
Other values (33) 106
 
7.0%
2023-12-09T20:53:22.105599image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 1021
13.0%
r 749
 
9.6%
k 647
 
8.3%
e 564
 
7.2%
n 535
 
6.8%
506
 
6.5%
N 479
 
6.1%
Y 440
 
5.6%
w 400
 
5.1%
l 349
 
4.5%
Other values (40) 2148
27.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5551
70.8%
Uppercase Letter 1775
 
22.6%
Space Separator 506
 
6.5%
Other Punctuation 6
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
N 479
27.0%
Y 440
24.8%
B 347
19.5%
F 61
 
3.4%
R 50
 
2.8%
O 50
 
2.8%
L 45
 
2.5%
E 40
 
2.3%
W 40
 
2.3%
K 38
 
2.1%
Other values (14) 185
 
10.4%
Lowercase Letter
ValueCountFrequency (%)
o 1021
18.4%
r 749
13.5%
k 647
11.7%
e 564
10.2%
n 535
9.6%
w 400
 
7.2%
l 349
 
6.3%
y 242
 
4.4%
s 160
 
2.9%
t 144
 
2.6%
Other values (13) 740
13.3%
Other Punctuation
ValueCountFrequency (%)
, 3
50.0%
. 3
50.0%
Space Separator
ValueCountFrequency (%)
506
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7326
93.5%
Common 512
 
6.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 1021
13.9%
r 749
10.2%
k 647
 
8.8%
e 564
 
7.7%
n 535
 
7.3%
N 479
 
6.5%
Y 440
 
6.0%
w 400
 
5.5%
l 349
 
4.8%
B 347
 
4.7%
Other values (37) 1795
24.5%
Common
ValueCountFrequency (%)
506
98.8%
, 3
 
0.6%
. 3
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7838
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 1021
13.0%
r 749
 
9.6%
k 647
 
8.3%
e 564
 
7.2%
n 535
 
6.8%
506
 
6.5%
N 479
 
6.1%
Y 440
 
5.6%
w 400
 
5.1%
l 349
 
4.5%
Other values (40) 2148
27.4%

county
Text

Distinct20
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size67.0 KiB
2023-12-09T20:53:22.299540image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.49
Min length2

Characters and Unicode

Total characters11490
Distinct characters43
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st rowBronx
2nd rowRichmond
3rd rowNew York
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 787
43.0%
available 787
43.0%
queens 53
 
2.9%
usa 52
 
2.8%
new 33
 
1.8%
york 33
 
1.8%
kings 30
 
1.6%
manhattan 15
 
0.8%
bronx 15
 
0.8%
united 9
 
0.5%
Other values (5) 17
 
0.9%
2023-12-09T20:53:22.608155image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1625
14.1%
l 1574
13.7%
e 939
8.2%
A 842
7.3%
t 841
7.3%
N 834
7.3%
831
7.2%
o 831
7.2%
i 824
7.2%
v 787
6.8%
Other values (33) 1562
13.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8656
75.3%
Uppercase Letter 2003
 
17.4%
Space Separator 831
 
7.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1625
18.8%
l 1574
18.2%
e 939
10.8%
t 841
9.7%
o 831
9.6%
i 824
9.5%
v 787
9.1%
b 787
9.1%
n 129
 
1.5%
s 88
 
1.0%
Other values (12) 231
 
2.7%
Uppercase Letter
ValueCountFrequency (%)
A 842
42.0%
N 834
41.6%
S 67
 
3.3%
U 62
 
3.1%
Q 52
 
2.6%
Y 34
 
1.7%
K 29
 
1.4%
B 15
 
0.7%
M 15
 
0.7%
R 12
 
0.6%
Other values (10) 41
 
2.0%
Space Separator
ValueCountFrequency (%)
831
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10659
92.8%
Common 831
 
7.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1625
15.2%
l 1574
14.8%
e 939
8.8%
A 842
7.9%
t 841
7.9%
N 834
7.8%
o 831
7.8%
i 824
7.7%
v 787
7.4%
b 787
7.4%
Other values (32) 775
7.3%
Common
ValueCountFrequency (%)
831
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11490
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1625
14.1%
l 1574
13.7%
e 939
8.2%
A 842
7.3%
t 841
7.3%
N 834
7.3%
831
7.2%
o 831
7.2%
i 824
7.2%
v 787
6.8%
Other values (33) 1562
13.6%
Distinct149
Distinct (%)14.9%
Missing0
Missing (%)0.0%
Memory size60.7 KiB
2023-12-09T20:53:22.930896image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length10
Median length5
Mean length5.032
Min length5

Characters and Unicode

Total characters5032
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)4.2%

Sample

1st row10461
2nd row10303
3rd row10022
4th row10022
5th row11694
ValueCountFrequency (%)
11365 43
 
4.3%
11362 41
 
4.1%
11226 32
 
3.2%
10463 28
 
2.8%
10452 26
 
2.6%
10016 26
 
2.6%
10036 25
 
2.5%
11225 25
 
2.5%
10001 24
 
2.4%
10017 23
 
2.3%
Other values (139) 707
70.7%
2023-12-09T20:53:23.381989image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1785
35.5%
0 1174
23.3%
2 572
 
11.4%
3 407
 
8.1%
6 292
 
5.8%
5 277
 
5.5%
4 247
 
4.9%
7 119
 
2.4%
8 84
 
1.7%
9 72
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5029
99.9%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1785
35.5%
0 1174
23.3%
2 572
 
11.4%
3 407
 
8.1%
6 292
 
5.8%
5 277
 
5.5%
4 247
 
4.9%
7 119
 
2.4%
8 84
 
1.7%
9 72
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5032
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1785
35.5%
0 1174
23.3%
2 572
 
11.4%
3 407
 
8.1%
6 292
 
5.8%
5 277
 
5.5%
4 247
 
4.9%
7 119
 
2.4%
8 84
 
1.7%
9 72
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5032
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1785
35.5%
0 1174
23.3%
2 572
 
11.4%
3 407
 
8.1%
6 292
 
5.8%
5 277
 
5.5%
4 247
 
4.9%
7 119
 
2.4%
8 84
 
1.7%
9 72
 
1.4%
Distinct30
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size72.3 KiB
2023-12-09T20:53:23.615554image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length37
Median length19
Mean length16.946
Min length5

Characters and Unicode

Total characters16946
Distinct characters48
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)0.7%

Sample

1st rowOffice
2nd rowNon-Refrigerated Warehouse
3rd rowHotel
4th rowMultifamily Housing
5th rowMultifamily Housing
ValueCountFrequency (%)
multifamily 714
38.0%
housing 714
38.0%
office 109
 
5.8%
hotel 51
 
2.7%
warehouse 26
 
1.4%
other 26
 
1.4%
non-refrigerated 23
 
1.2%
17
 
0.9%
store 12
 
0.6%
retail 10
 
0.5%
Other values (42) 179
 
9.5%
2023-12-09T20:53:23.984532image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 2419
14.3%
l 1569
 
9.3%
u 1494
 
8.8%
f 961
 
5.7%
t 943
 
5.6%
o 913
 
5.4%
881
 
5.2%
a 866
 
5.1%
n 820
 
4.8%
s 789
 
4.7%
Other values (38) 5291
31.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 14066
83.0%
Uppercase Letter 1906
 
11.2%
Space Separator 881
 
5.2%
Dash Punctuation 48
 
0.3%
Other Punctuation 21
 
0.1%
Decimal Number 20
 
0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 2419
17.2%
l 1569
11.2%
u 1494
10.6%
f 961
 
6.8%
t 943
 
6.7%
o 913
 
6.5%
a 866
 
6.2%
n 820
 
5.8%
s 789
 
5.6%
y 759
 
5.4%
Other values (12) 2533
18.0%
Uppercase Letter
ValueCountFrequency (%)
H 781
41.0%
M 733
38.5%
O 137
 
7.2%
S 46
 
2.4%
R 41
 
2.2%
W 31
 
1.6%
C 29
 
1.5%
N 23
 
1.2%
P 22
 
1.2%
U 10
 
0.5%
Other values (8) 53
 
2.8%
Other Punctuation
ValueCountFrequency (%)
/ 19
90.5%
& 2
 
9.5%
Decimal Number
ValueCountFrequency (%)
1 10
50.0%
2 10
50.0%
Space Separator
ValueCountFrequency (%)
881
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 15972
94.3%
Common 974
 
5.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 2419
15.1%
l 1569
 
9.8%
u 1494
 
9.4%
f 961
 
6.0%
t 943
 
5.9%
o 913
 
5.7%
a 866
 
5.4%
n 820
 
5.1%
s 789
 
4.9%
H 781
 
4.9%
Other values (30) 4417
27.7%
Common
ValueCountFrequency (%)
881
90.5%
- 48
 
4.9%
/ 19
 
2.0%
1 10
 
1.0%
2 10
 
1.0%
( 2
 
0.2%
& 2
 
0.2%
) 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16946
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i 2419
14.3%
l 1569
 
9.3%
u 1494
 
8.8%
f 961
 
5.7%
t 943
 
5.6%
o 913
 
5.4%
881
 
5.2%
a 866
 
5.1%
n 820
 
4.8%
s 789
 
4.7%
Other values (38) 5291
31.2%
Distinct29
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size72.3 KiB
2023-12-09T20:53:24.206429image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length37
Median length19
Mean length16.903
Min length5

Characters and Unicode

Total characters16903
Distinct characters48
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)0.8%

Sample

1st rowOffice
2nd rowNon-Refrigerated Warehouse
3rd rowHotel
4th rowMultifamily Housing
5th rowMultifamily Housing
ValueCountFrequency (%)
multifamily 722
38.5%
housing 722
38.5%
office 108
 
5.8%
hotel 50
 
2.7%
other 32
 
1.7%
warehouse 25
 
1.3%
non-refrigerated 23
 
1.2%
19
 
1.0%
store 12
 
0.6%
k-12 10
 
0.5%
Other values (36) 153
 
8.2%
2023-12-09T20:53:24.569892image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 2431
14.4%
l 1577
 
9.3%
u 1504
 
8.9%
f 965
 
5.7%
t 939
 
5.6%
o 911
 
5.4%
876
 
5.2%
a 861
 
5.1%
n 822
 
4.9%
s 788
 
4.7%
Other values (38) 5229
30.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 14043
83.1%
Uppercase Letter 1894
 
11.2%
Space Separator 876
 
5.2%
Dash Punctuation 50
 
0.3%
Decimal Number 20
 
0.1%
Other Punctuation 16
 
0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 2431
17.3%
l 1577
11.2%
u 1504
10.7%
f 965
 
6.9%
t 939
 
6.7%
o 911
 
6.5%
a 861
 
6.1%
n 822
 
5.9%
s 788
 
5.6%
g 761
 
5.4%
Other values (12) 2484
17.7%
Uppercase Letter
ValueCountFrequency (%)
H 787
41.6%
M 735
38.8%
O 140
 
7.4%
S 46
 
2.4%
R 41
 
2.2%
W 29
 
1.5%
C 26
 
1.4%
N 23
 
1.2%
P 16
 
0.8%
D 11
 
0.6%
Other values (8) 40
 
2.1%
Other Punctuation
ValueCountFrequency (%)
/ 14
87.5%
& 2
 
12.5%
Decimal Number
ValueCountFrequency (%)
1 10
50.0%
2 10
50.0%
Space Separator
ValueCountFrequency (%)
876
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 15937
94.3%
Common 966
 
5.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 2431
15.3%
l 1577
 
9.9%
u 1504
 
9.4%
f 965
 
6.1%
t 939
 
5.9%
o 911
 
5.7%
a 861
 
5.4%
n 822
 
5.2%
s 788
 
4.9%
H 787
 
4.9%
Other values (30) 4352
27.3%
Common
ValueCountFrequency (%)
876
90.7%
- 50
 
5.2%
/ 14
 
1.4%
1 10
 
1.0%
2 10
 
1.0%
( 2
 
0.2%
& 2
 
0.2%
) 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16903
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i 2431
14.4%
l 1577
 
9.3%
u 1504
 
8.9%
f 965
 
5.7%
t 939
 
5.6%
o 911
 
5.4%
876
 
5.2%
a 861
 
5.1%
n 822
 
4.9%
s 788
 
4.7%
Other values (38) 5229
30.9%
Distinct22
Distinct (%)2.2%
Missing8
Missing (%)0.8%
Memory size91.6 KiB
2023-12-09T20:53:24.786187image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length54
Median length40
Mean length37.18447581
Min length13

Characters and Unicode

Total characters36887
Distinct characters43
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)0.6%

Sample

1st rowCBECS - Office & Bank/Financial
2nd rowCBECS - Unrefrigerated Warehouse & Distribution Center
3rd rowCBECS - Hotel & Motel/Inn
4th rowFannie Mae Industry Survey - Multifamily
5th rowFannie Mae Industry Survey - Multifamily
ValueCountFrequency (%)
1187
21.0%
fannie 722
12.8%
mae 722
12.8%
industry 722
12.8%
survey 722
12.8%
multifamily 722
12.8%
cbecs 270
 
4.8%
office 108
 
1.9%
bank/financial 105
 
1.9%
hotel 50
 
0.9%
Other values (35) 315
 
5.6%
2023-12-09T20:53:25.129482image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4653
 
12.6%
e 2720
 
7.4%
n 2719
 
7.4%
i 2688
 
7.3%
a 2610
 
7.1%
u 2248
 
6.1%
y 2186
 
5.9%
t 1762
 
4.8%
l 1721
 
4.7%
r 1712
 
4.6%
Other values (33) 11868
32.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 25174
68.2%
Uppercase Letter 5705
 
15.5%
Space Separator 4653
 
12.6%
Dash Punctuation 992
 
2.7%
Other Punctuation 363
 
1.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 2720
10.8%
n 2719
10.8%
i 2688
10.7%
a 2610
10.4%
u 2248
8.9%
y 2186
8.7%
t 1762
7.0%
l 1721
6.8%
r 1712
6.8%
f 970
 
3.9%
Other values (11) 3838
15.2%
Uppercase Letter
ValueCountFrequency (%)
M 1512
26.5%
S 1018
17.8%
F 829
14.5%
I 782
13.7%
C 570
 
10.0%
B 375
 
6.6%
E 283
 
5.0%
O 128
 
2.2%
H 71
 
1.2%
W 36
 
0.6%
Other values (8) 101
 
1.8%
Other Punctuation
ValueCountFrequency (%)
& 195
53.7%
/ 168
46.3%
Space Separator
ValueCountFrequency (%)
4653
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 992
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 30879
83.7%
Common 6008
 
16.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 2720
 
8.8%
n 2719
 
8.8%
i 2688
 
8.7%
a 2610
 
8.5%
u 2248
 
7.3%
y 2186
 
7.1%
t 1762
 
5.7%
l 1721
 
5.6%
r 1712
 
5.5%
M 1512
 
4.9%
Other values (29) 9001
29.1%
Common
ValueCountFrequency (%)
4653
77.4%
- 992
 
16.5%
& 195
 
3.2%
/ 168
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 36887
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4653
 
12.6%
e 2720
 
7.4%
n 2719
 
7.4%
i 2688
 
7.3%
a 2610
 
7.1%
u 2248
 
6.1%
y 2186
 
5.9%
t 1762
 
4.8%
l 1721
 
4.7%
r 1712
 
4.6%
Other values (33) 11868
32.2%
Distinct156
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Memory size79.2 KiB
2023-12-09T20:53:25.399864image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length172
Median length19
Mean length23.93
Min length5

Characters and Unicode

Total characters23930
Distinct characters52
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique110 ?
Unique (%)11.0%

Sample

1st rowOffice
2nd rowNon-Refrigerated Warehouse, Office
3rd rowHotel, Other, Restaurant, Social/Meeting Hall
4th rowMedical Office, Multifamily Housing, Parking
5th rowMultifamily Housing, Office, Parking
ValueCountFrequency (%)
multifamily 724
26.9%
housing 724
26.9%
office 203
 
7.5%
store 145
 
5.4%
parking 129
 
4.8%
other 115
 
4.3%
retail 114
 
4.2%
hotel 52
 
1.9%
38
 
1.4%
restaurant 33
 
1.2%
Other values (65) 416
15.4%
2023-12-09T20:53:25.834870image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 2893
 
12.1%
l 1786
 
7.5%
1693
 
7.1%
u 1603
 
6.7%
t 1462
 
6.1%
a 1361
 
5.7%
f 1165
 
4.9%
o 1143
 
4.8%
e 1134
 
4.7%
n 1116
 
4.7%
Other values (42) 8574
35.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 18769
78.4%
Uppercase Letter 2755
 
11.5%
Space Separator 1693
 
7.1%
Other Punctuation 601
 
2.5%
Dash Punctuation 80
 
0.3%
Decimal Number 26
 
0.1%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 2893
15.4%
l 1786
9.5%
u 1603
 
8.5%
t 1462
 
7.8%
a 1361
 
7.3%
f 1165
 
6.2%
o 1143
 
6.1%
e 1134
 
6.0%
n 1116
 
5.9%
g 903
 
4.8%
Other values (12) 4203
22.4%
Uppercase Letter
ValueCountFrequency (%)
H 799
29.0%
M 763
27.7%
O 322
11.7%
S 226
 
8.2%
R 196
 
7.1%
P 155
 
5.6%
C 45
 
1.6%
F 41
 
1.5%
W 38
 
1.4%
G 36
 
1.3%
Other values (10) 134
 
4.9%
Other Punctuation
ValueCountFrequency (%)
, 526
87.5%
/ 72
 
12.0%
& 2
 
0.3%
. 1
 
0.2%
Decimal Number
ValueCountFrequency (%)
2 13
50.0%
1 13
50.0%
Space Separator
ValueCountFrequency (%)
1693
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 80
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 21524
89.9%
Common 2406
 
10.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 2893
13.4%
l 1786
 
8.3%
u 1603
 
7.4%
t 1462
 
6.8%
a 1361
 
6.3%
f 1165
 
5.4%
o 1143
 
5.3%
e 1134
 
5.3%
n 1116
 
5.2%
g 903
 
4.2%
Other values (32) 6958
32.3%
Common
ValueCountFrequency (%)
1693
70.4%
, 526
 
21.9%
- 80
 
3.3%
/ 72
 
3.0%
2 13
 
0.5%
1 13
 
0.5%
( 3
 
0.1%
) 3
 
0.1%
& 2
 
0.1%
. 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23930
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i 2893
 
12.1%
l 1786
 
7.5%
1693
 
7.1%
u 1603
 
6.7%
t 1462
 
6.1%
a 1361
 
5.7%
f 1165
 
4.9%
o 1143
 
4.8%
e 1134
 
4.7%
n 1116
 
4.7%
Other values (42) 8574
35.8%
Distinct29
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size72.3 KiB
2023-12-09T20:53:26.056334image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length37
Median length19
Mean length16.913
Min length5

Characters and Unicode

Total characters16913
Distinct characters47
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)0.9%

Sample

1st rowOffice
2nd rowNon-Refrigerated Warehouse
3rd rowHotel
4th rowMultifamily Housing
5th rowMultifamily Housing
ValueCountFrequency (%)
multifamily 722
38.6%
housing 722
38.6%
office 108
 
5.8%
hotel 50
 
2.7%
other 33
 
1.8%
warehouse 26
 
1.4%
non-refrigerated 24
 
1.3%
19
 
1.0%
store 12
 
0.6%
k-12 10
 
0.5%
Other values (36) 146
 
7.8%
2023-12-09T20:53:26.419909image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 2434
14.4%
l 1579
 
9.3%
u 1506
 
8.9%
f 966
 
5.7%
t 943
 
5.6%
o 910
 
5.4%
872
 
5.2%
a 866
 
5.1%
n 826
 
4.9%
H 787
 
4.7%
Other values (37) 5224
30.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 14055
83.1%
Uppercase Letter 1893
 
11.2%
Space Separator 872
 
5.2%
Dash Punctuation 51
 
0.3%
Decimal Number 20
 
0.1%
Other Punctuation 18
 
0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 2434
17.3%
l 1579
11.2%
u 1506
10.7%
f 966
 
6.9%
t 943
 
6.7%
o 910
 
6.5%
a 866
 
6.2%
n 826
 
5.9%
s 786
 
5.6%
g 763
 
5.4%
Other values (11) 2476
17.6%
Uppercase Letter
ValueCountFrequency (%)
H 787
41.6%
M 731
38.6%
O 143
 
7.6%
S 46
 
2.4%
R 42
 
2.2%
W 31
 
1.6%
C 28
 
1.5%
N 24
 
1.3%
P 12
 
0.6%
D 11
 
0.6%
Other values (8) 38
 
2.0%
Other Punctuation
ValueCountFrequency (%)
/ 16
88.9%
& 2
 
11.1%
Decimal Number
ValueCountFrequency (%)
2 10
50.0%
1 10
50.0%
Space Separator
ValueCountFrequency (%)
872
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 51
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 15948
94.3%
Common 965
 
5.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 2434
15.3%
l 1579
 
9.9%
u 1506
 
9.4%
f 966
 
6.1%
t 943
 
5.9%
o 910
 
5.7%
a 866
 
5.4%
n 826
 
5.2%
H 787
 
4.9%
s 786
 
4.9%
Other values (29) 4345
27.2%
Common
ValueCountFrequency (%)
872
90.4%
- 51
 
5.3%
/ 16
 
1.7%
2 10
 
1.0%
1 10
 
1.0%
( 2
 
0.2%
& 2
 
0.2%
) 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16913
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i 2434
14.4%
l 1579
 
9.3%
u 1506
 
8.9%
f 966
 
5.7%
t 943
 
5.6%
o 910
 
5.4%
872
 
5.2%
a 866
 
5.1%
n 826
 
4.9%
H 787
 
4.7%
Other values (37) 5224
30.9%
Distinct865
Distinct (%)86.5%
Missing0
Missing (%)0.0%
Memory size61.0 KiB
2023-12-09T20:53:26.802528image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length8
Median length5
Mean length5.37
Min length1

Characters and Unicode

Total characters5370
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique811 ?
Unique (%)81.1%

Sample

1st row153816
2nd row61000
3rd row239898
4th row950000
5th row423246
ValueCountFrequency (%)
70000 33
 
3.3%
50000 7
 
0.7%
387600 7
 
0.7%
35000 6
 
0.6%
80000 5
 
0.5%
52000 5
 
0.5%
84000 5
 
0.5%
17500 4
 
0.4%
100000 4
 
0.4%
55000 4
 
0.4%
Other values (855) 920
92.0%
2023-12-09T20:53:27.338617image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1337
24.9%
5 561
10.4%
1 539
10.0%
6 473
 
8.8%
2 464
 
8.6%
7 455
 
8.5%
8 425
 
7.9%
4 399
 
7.4%
3 387
 
7.2%
9 328
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5368
> 99.9%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1337
24.9%
5 561
10.5%
1 539
10.0%
6 473
 
8.8%
2 464
 
8.6%
7 455
 
8.5%
8 425
 
7.9%
4 399
 
7.4%
3 387
 
7.2%
9 328
 
6.1%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5370
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1337
24.9%
5 561
10.4%
1 539
10.0%
6 473
 
8.8%
2 464
 
8.6%
7 455
 
8.5%
8 425
 
7.9%
4 399
 
7.4%
3 387
 
7.2%
9 328
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5370
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1337
24.9%
5 561
10.4%
1 539
10.0%
6 473
 
8.8%
2 464
 
8.6%
7 455
 
8.5%
8 425
 
7.9%
4 399
 
7.4%
3 387
 
7.2%
9 328
 
6.1%
Distinct28
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size67.7 KiB
2023-12-09T20:53:27.601301image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length42
Median length13
Mean length12.239
Min length5

Characters and Unicode

Total characters12239
Distinct characters41
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)0.8%

Sample

1st rowNot Available
2nd rowOffice
3rd rowSocial/Meeting Hall
4th rowParking
5th rowParking
ValueCountFrequency (%)
not 664
36.1%
available 664
36.1%
parking 108
 
5.9%
store 86
 
4.7%
retail 77
 
4.2%
office 59
 
3.2%
other 42
 
2.3%
medical 20
 
1.1%
restaurant 13
 
0.7%
10
 
0.5%
Other values (37) 95
 
5.2%
2023-12-09T20:53:28.002964image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1644
13.4%
l 1465
12.0%
e 1067
8.7%
i 990
8.1%
t 970
 
7.9%
838
 
6.8%
o 790
 
6.5%
b 679
 
5.5%
A 669
 
5.5%
N 668
 
5.5%
Other values (31) 2459
20.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9503
77.6%
Uppercase Letter 1857
 
15.2%
Space Separator 838
 
6.8%
Other Punctuation 26
 
0.2%
Dash Punctuation 15
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1644
17.3%
l 1465
15.4%
e 1067
11.2%
i 990
10.4%
t 970
10.2%
o 790
8.3%
b 679
7.1%
v 667
7.0%
r 323
 
3.4%
n 188
 
2.0%
Other values (12) 720
7.6%
Uppercase Letter
ValueCountFrequency (%)
A 669
36.0%
N 668
36.0%
P 118
 
6.4%
O 103
 
5.5%
R 100
 
5.4%
S 100
 
5.4%
M 24
 
1.3%
F 16
 
0.9%
G 12
 
0.6%
C 12
 
0.6%
Other values (6) 35
 
1.9%
Space Separator
ValueCountFrequency (%)
838
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11360
92.8%
Common 879
 
7.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1644
14.5%
l 1465
12.9%
e 1067
9.4%
i 990
8.7%
t 970
8.5%
o 790
7.0%
b 679
 
6.0%
A 669
 
5.9%
N 668
 
5.9%
v 667
 
5.9%
Other values (28) 1751
15.4%
Common
ValueCountFrequency (%)
838
95.3%
/ 26
 
3.0%
- 15
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1644
13.4%
l 1465
12.0%
e 1067
8.7%
i 990
8.1%
t 970
 
7.9%
838
 
6.8%
o 790
 
6.5%
b 679
 
5.5%
A 669
 
5.5%
N 668
 
5.5%
Other values (31) 2459
20.1%
Distinct271
Distinct (%)27.1%
Missing0
Missing (%)0.0%
Memory size65.6 KiB
2023-12-09T20:53:28.504606image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length10.059
Min length1

Characters and Unicode

Total characters10059
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique245 ?
Unique (%)24.5%

Sample

1st rowNot Available
2nd row2000
3rd row5640
4th row35000
5th row49725
ValueCountFrequency (%)
not 664
39.9%
available 664
39.9%
0 22
 
1.3%
5000 9
 
0.5%
20000 7
 
0.4%
3000 4
 
0.2%
2000 3
 
0.2%
6000 3
 
0.2%
4768 3
 
0.2%
12000 3
 
0.2%
Other values (262) 282
16.9%
2023-12-09T20:53:29.141624image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1328
13.2%
l 1328
13.2%
N 664
 
6.6%
o 664
 
6.6%
t 664
 
6.6%
664
 
6.6%
A 664
 
6.6%
v 664
 
6.6%
i 664
 
6.6%
b 664
 
6.6%
Other values (12) 2091
20.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6640
66.0%
Decimal Number 1425
 
14.2%
Uppercase Letter 1328
 
13.2%
Space Separator 664
 
6.6%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 410
28.8%
1 173
12.1%
5 130
 
9.1%
2 130
 
9.1%
4 125
 
8.8%
3 111
 
7.8%
6 110
 
7.7%
7 100
 
7.0%
8 74
 
5.2%
9 62
 
4.4%
Lowercase Letter
ValueCountFrequency (%)
a 1328
20.0%
l 1328
20.0%
o 664
10.0%
t 664
10.0%
v 664
10.0%
i 664
10.0%
b 664
10.0%
e 664
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 664
50.0%
A 664
50.0%
Space Separator
ValueCountFrequency (%)
664
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7968
79.2%
Common 2091
 
20.8%

Most frequent character per script

Common
ValueCountFrequency (%)
664
31.8%
0 410
19.6%
1 173
 
8.3%
5 130
 
6.2%
2 130
 
6.2%
4 125
 
6.0%
3 111
 
5.3%
6 110
 
5.3%
7 100
 
4.8%
8 74
 
3.5%
Other values (2) 64
 
3.1%
Latin
ValueCountFrequency (%)
a 1328
16.7%
l 1328
16.7%
N 664
8.3%
o 664
8.3%
t 664
8.3%
A 664
8.3%
v 664
8.3%
i 664
8.3%
b 664
8.3%
e 664
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10059
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1328
13.2%
l 1328
13.2%
N 664
 
6.6%
o 664
 
6.6%
t 664
 
6.6%
664
 
6.6%
A 664
 
6.6%
v 664
 
6.6%
i 664
 
6.6%
b 664
 
6.6%
Other values (12) 2091
20.8%
Distinct21
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:53:29.384640image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length37
Median length13
Mean length13.059
Min length5

Characters and Unicode

Total characters13059
Distinct characters44
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)0.6%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowOther
4th rowMedical Office
5th rowOffice
ValueCountFrequency (%)
not 889
45.2%
available 889
45.2%
store 32
 
1.6%
office 23
 
1.2%
other 22
 
1.1%
retail 17
 
0.9%
supermarket/grocery 15
 
0.8%
restaurant 11
 
0.6%
7
 
0.4%
parking 7
 
0.4%
Other values (23) 54
 
2.7%
2023-12-09T20:53:29.752659image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1881
14.4%
l 1824
14.0%
e 1079
8.3%
t 1022
7.8%
i 973
7.5%
966
7.4%
o 959
7.3%
b 897
6.9%
A 893
6.8%
N 891
6.8%
Other values (34) 1674
12.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10068
77.1%
Uppercase Letter 1984
 
15.2%
Space Separator 966
 
7.4%
Other Punctuation 23
 
0.2%
Dash Punctuation 12
 
0.1%
Decimal Number 6
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1881
18.7%
l 1824
18.1%
e 1079
10.7%
t 1022
10.2%
i 973
9.7%
o 959
9.5%
b 897
8.9%
v 890
8.8%
r 157
 
1.6%
c 63
 
0.6%
Other values (12) 323
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
A 893
45.0%
N 891
44.9%
S 54
 
2.7%
O 45
 
2.3%
R 34
 
1.7%
G 15
 
0.8%
P 15
 
0.8%
B 9
 
0.5%
M 6
 
0.3%
F 6
 
0.3%
Other values (7) 16
 
0.8%
Decimal Number
ValueCountFrequency (%)
1 3
50.0%
2 3
50.0%
Space Separator
ValueCountFrequency (%)
966
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12052
92.3%
Common 1007
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1881
15.6%
l 1824
15.1%
e 1079
9.0%
t 1022
8.5%
i 973
8.1%
o 959
8.0%
b 897
7.4%
A 893
7.4%
N 891
7.4%
v 890
7.4%
Other values (29) 743
 
6.2%
Common
ValueCountFrequency (%)
966
95.9%
/ 23
 
2.3%
- 12
 
1.2%
1 3
 
0.3%
2 3
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13059
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1881
14.4%
l 1824
14.0%
e 1079
8.3%
t 1022
7.8%
i 973
7.5%
966
7.4%
o 959
7.3%
b 897
6.9%
A 893
6.8%
N 891
6.8%
Other values (34) 1674
12.8%
Distinct99
Distinct (%)9.9%
Missing0
Missing (%)0.0%
Memory size67.5 KiB
2023-12-09T20:53:30.116037image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.015
Min length1

Characters and Unicode

Total characters12015
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique88 ?
Unique (%)8.8%

Sample

1st rowNot Available
2nd rowNot Available
3rd row4116
4th row15000
5th row1032
ValueCountFrequency (%)
not 889
47.1%
available 889
47.1%
0 4
 
0.2%
1900 3
 
0.2%
10000 2
 
0.1%
700 2
 
0.1%
41000 2
 
0.1%
1200 2
 
0.1%
1100 2
 
0.1%
5000 2
 
0.1%
Other values (90) 92
 
4.9%
2023-12-09T20:53:30.612516image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1778
14.8%
l 1778
14.8%
N 889
7.4%
o 889
7.4%
t 889
7.4%
889
7.4%
A 889
7.4%
v 889
7.4%
i 889
7.4%
b 889
7.4%
Other values (12) 1347
11.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8890
74.0%
Uppercase Letter 1778
 
14.8%
Space Separator 889
 
7.4%
Decimal Number 457
 
3.8%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 123
26.9%
1 68
14.9%
5 44
 
9.6%
2 38
 
8.3%
8 37
 
8.1%
4 36
 
7.9%
3 31
 
6.8%
6 30
 
6.6%
7 27
 
5.9%
9 23
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
a 1778
20.0%
l 1778
20.0%
o 889
10.0%
t 889
10.0%
v 889
10.0%
i 889
10.0%
b 889
10.0%
e 889
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 889
50.0%
A 889
50.0%
Space Separator
ValueCountFrequency (%)
889
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10668
88.8%
Common 1347
 
11.2%

Most frequent character per script

Common
ValueCountFrequency (%)
889
66.0%
0 123
 
9.1%
1 68
 
5.0%
5 44
 
3.3%
2 38
 
2.8%
8 37
 
2.7%
4 36
 
2.7%
3 31
 
2.3%
6 30
 
2.2%
7 27
 
2.0%
Other values (2) 24
 
1.8%
Latin
ValueCountFrequency (%)
a 1778
16.7%
l 1778
16.7%
N 889
8.3%
o 889
8.3%
t 889
8.3%
A 889
8.3%
v 889
8.3%
i 889
8.3%
b 889
8.3%
e 889
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12015
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1778
14.8%
l 1778
14.8%
N 889
7.4%
o 889
7.4%
t 889
7.4%
889
7.4%
A 889
7.4%
v 889
7.4%
i 889
7.4%
b 889
7.4%
Other values (12) 1347
11.2%
Distinct121
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Memory size59.7 KiB
2023-12-09T20:53:30.971826image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters4000
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)1.7%

Sample

1st row1981
2nd row1912
3rd row1925
4th row1972
5th row1968
ValueCountFrequency (%)
1953 38
 
3.8%
1928 37
 
3.7%
1930 34
 
3.4%
1927 32
 
3.2%
1926 30
 
3.0%
1929 29
 
2.9%
1920 29
 
2.9%
1952 28
 
2.8%
1951 25
 
2.5%
1931 25
 
2.5%
Other values (111) 693
69.3%
2023-12-09T20:53:31.443104image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1112
27.8%
9 1031
25.8%
2 407
 
10.2%
0 355
 
8.9%
5 281
 
7.0%
3 223
 
5.6%
6 184
 
4.6%
8 163
 
4.1%
7 122
 
3.0%
4 122
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1112
27.8%
9 1031
25.8%
2 407
 
10.2%
0 355
 
8.9%
5 281
 
7.0%
3 223
 
5.6%
6 184
 
4.6%
8 163
 
4.1%
7 122
 
3.0%
4 122
 
3.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1112
27.8%
9 1031
25.8%
2 407
 
10.2%
0 355
 
8.9%
5 281
 
7.0%
3 223
 
5.6%
6 184
 
4.6%
8 163
 
4.1%
7 122
 
3.0%
4 122
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1112
27.8%
9 1031
25.8%
2 407
 
10.2%
0 355
 
8.9%
5 281
 
7.0%
3 223
 
5.6%
6 184
 
4.6%
8 163
 
4.1%
7 122
 
3.0%
4 122
 
3.0%
Distinct11
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size56.8 KiB
2023-12-09T20:53:31.583642image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length1
Mean length1.004
Min length1

Characters and Unicode

Total characters1004
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1
ValueCountFrequency (%)
1 963
96.3%
0 14
 
1.4%
2 8
 
0.8%
3 5
 
0.5%
4 2
 
0.2%
12 2
 
0.2%
6 2
 
0.2%
22 1
 
0.1%
7 1
 
0.1%
5 1
 
0.1%
2023-12-09T20:53:31.832953image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 966
96.2%
0 14
 
1.4%
2 12
 
1.2%
3 5
 
0.5%
6 3
 
0.3%
4 2
 
0.2%
7 1
 
0.1%
5 1
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1004
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 966
96.2%
0 14
 
1.4%
2 12
 
1.2%
3 5
 
0.5%
6 3
 
0.3%
4 2
 
0.2%
7 1
 
0.1%
5 1
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 1004
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 966
96.2%
0 14
 
1.4%
2 12
 
1.2%
3 5
 
0.5%
6 3
 
0.3%
4 2
 
0.2%
7 1
 
0.1%
5 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1004
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 966
96.2%
0 14
 
1.4%
2 12
 
1.2%
3 5
 
0.5%
6 3
 
0.3%
4 2
 
0.2%
7 1
 
0.1%
5 1
 
0.1%
Distinct13
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size58.6 KiB
2023-12-09T20:53:31.977935image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.924
Min length1

Characters and Unicode

Total characters2924
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st row100
2nd row100
3rd row100
4th row100
5th row100
ValueCountFrequency (%)
100 926
92.6%
95 21
 
2.1%
90 17
 
1.7%
70 11
 
1.1%
80 8
 
0.8%
75 5
 
0.5%
85 4
 
0.4%
50 2
 
0.2%
0 2
 
0.2%
30 1
 
0.1%
Other values (3) 3
 
0.3%
2023-12-09T20:53:32.273303image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1894
64.8%
1 927
31.7%
9 38
 
1.3%
5 34
 
1.2%
7 16
 
0.5%
8 12
 
0.4%
6 2
 
0.1%
3 1
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2924
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1894
64.8%
1 927
31.7%
9 38
 
1.3%
5 34
 
1.2%
7 16
 
0.5%
8 12
 
0.4%
6 2
 
0.1%
3 1
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 2924
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1894
64.8%
1 927
31.7%
9 38
 
1.3%
5 34
 
1.2%
7 16
 
0.5%
8 12
 
0.4%
6 2
 
0.1%
3 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2924
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1894
64.8%
1 927
31.7%
9 38
 
1.3%
5 34
 
1.2%
7 16
 
0.5%
8 12
 
0.4%
6 2
 
0.1%
3 1
 
< 0.1%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size69.5 KiB
2023-12-09T20:53:32.457370image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length21
Median length14
Mean length14.051
Min length13

Characters and Unicode

Total characters14051
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowTenant areas only
2nd rowWhole Building
3rd rowWhole Building
4th rowWhole Building
5th rowWhole Building
ValueCountFrequency (%)
whole 967
48.0%
building 967
48.0%
not 16
 
0.8%
available 16
 
0.8%
areas 13
 
0.6%
only 13
 
0.6%
common 11
 
0.5%
another 4
 
0.2%
configuration 4
 
0.2%
tenant 2
 
0.1%
2023-12-09T20:53:32.766452image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1979
14.1%
i 1958
13.9%
o 1030
7.3%
1013
7.2%
n 1007
7.2%
e 1002
7.1%
h 971
6.9%
u 971
6.9%
g 971
6.9%
W 967
6.9%
Other values (16) 2182
15.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 11055
78.7%
Uppercase Letter 1983
 
14.1%
Space Separator 1013
 
7.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1979
17.9%
i 1958
17.7%
o 1030
9.3%
n 1007
9.1%
e 1002
9.1%
h 971
8.8%
u 971
8.8%
g 971
8.8%
d 967
8.7%
a 64
 
0.6%
Other values (9) 135
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
W 967
48.8%
B 967
48.8%
A 20
 
1.0%
N 16
 
0.8%
C 11
 
0.6%
T 2
 
0.1%
Space Separator
ValueCountFrequency (%)
1013
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 13038
92.8%
Common 1013
 
7.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1979
15.2%
i 1958
15.0%
o 1030
7.9%
n 1007
7.7%
e 1002
7.7%
h 971
7.4%
u 971
7.4%
g 971
7.4%
W 967
7.4%
B 967
7.4%
Other values (15) 1215
9.3%
Common
ValueCountFrequency (%)
1013
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14051
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1979
14.1%
i 1958
13.9%
o 1030
7.3%
1013
7.2%
n 1007
7.2%
e 1002
7.1%
h 971
6.9%
u 971
6.9%
g 971
6.9%
W 967
6.9%
Other values (16) 2182
15.5%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size69.2 KiB
2023-12-09T20:53:32.958396image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length38
Median length14
Mean length13.725
Min length13

Characters and Unicode

Total characters13725
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowWhole Building
3rd rowNot Available
4th rowWhole Building
5th rowNot Available
ValueCountFrequency (%)
whole 663
33.0%
building 663
33.0%
not 333
16.6%
available 333
16.6%
tenant 3
 
0.1%
areas 3
 
0.1%
combination 2
 
0.1%
of 2
 
0.1%
common 2
 
0.1%
and 2
 
0.1%
Other values (3) 3
 
0.1%
2023-12-09T20:53:33.275407image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1993
14.5%
i 1665
12.1%
o 1010
 
7.4%
1009
 
7.4%
e 1003
 
7.3%
n 681
 
5.0%
a 680
 
5.0%
d 665
 
4.8%
h 664
 
4.8%
u 664
 
4.8%
Other values (16) 3691
26.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10720
78.1%
Uppercase Letter 1996
 
14.5%
Space Separator 1009
 
7.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1993
18.6%
i 1665
15.5%
o 1010
9.4%
e 1003
9.4%
n 681
 
6.4%
a 680
 
6.3%
d 665
 
6.2%
h 664
 
6.2%
u 664
 
6.2%
g 664
 
6.2%
Other values (9) 1031
9.6%
Uppercase Letter
ValueCountFrequency (%)
W 663
33.2%
B 663
33.2%
A 334
16.7%
N 333
16.7%
C 2
 
0.1%
T 1
 
0.1%
Space Separator
ValueCountFrequency (%)
1009
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12716
92.6%
Common 1009
 
7.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1993
15.7%
i 1665
13.1%
o 1010
 
7.9%
e 1003
 
7.9%
n 681
 
5.4%
a 680
 
5.3%
d 665
 
5.2%
h 664
 
5.2%
u 664
 
5.2%
g 664
 
5.2%
Other values (15) 3027
23.8%
Common
ValueCountFrequency (%)
1009
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13725
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1993
14.5%
i 1665
12.1%
o 1010
 
7.4%
1009
 
7.4%
e 1003
 
7.3%
n 681
 
5.0%
a 680
 
5.0%
d 665
 
4.8%
h 664
 
4.8%
u 664
 
4.8%
Other values (16) 3691
26.9%
Distinct101
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Memory size59.7 KiB
2023-12-09T20:53:33.600455image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length2
Mean length4.038
Min length1

Characters and Unicode

Total characters4038
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd row17
4th row9
5th rowNot Available
ValueCountFrequency (%)
not 188
 
15.8%
available 188
 
15.8%
100 38
 
3.2%
1 23
 
1.9%
99 18
 
1.5%
96 17
 
1.4%
88 16
 
1.3%
74 15
 
1.3%
79 15
 
1.3%
78 15
 
1.3%
Other values (92) 655
55.1%
2023-12-09T20:53:34.038473image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 376
 
9.3%
a 376
 
9.3%
9 222
 
5.5%
N 188
 
4.7%
i 188
 
4.7%
o 188
 
4.7%
b 188
 
4.7%
e 188
 
4.7%
v 188
 
4.7%
A 188
 
4.7%
Other values (11) 1748
43.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1880
46.6%
Decimal Number 1594
39.5%
Uppercase Letter 376
 
9.3%
Space Separator 188
 
4.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 222
13.9%
8 181
11.4%
1 179
11.2%
7 173
10.9%
6 161
10.1%
4 147
9.2%
3 144
9.0%
0 138
8.7%
5 125
7.8%
2 124
7.8%
Lowercase Letter
ValueCountFrequency (%)
l 376
20.0%
a 376
20.0%
i 188
10.0%
o 188
10.0%
b 188
10.0%
e 188
10.0%
v 188
10.0%
t 188
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 188
50.0%
A 188
50.0%
Space Separator
ValueCountFrequency (%)
188
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2256
55.9%
Common 1782
44.1%

Most frequent character per script

Common
ValueCountFrequency (%)
9 222
12.5%
188
10.5%
8 181
10.2%
1 179
10.0%
7 173
9.7%
6 161
9.0%
4 147
8.2%
3 144
8.1%
0 138
7.7%
5 125
7.0%
Latin
ValueCountFrequency (%)
l 376
16.7%
a 376
16.7%
N 188
8.3%
i 188
8.3%
o 188
8.3%
b 188
8.3%
e 188
8.3%
v 188
8.3%
A 188
8.3%
t 188
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4038
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 376
 
9.3%
a 376
 
9.3%
9 222
 
5.5%
N 188
 
4.7%
i 188
 
4.7%
o 188
 
4.7%
b 188
 
4.7%
e 188
 
4.7%
v 188
 
4.7%
A 188
 
4.7%
Other values (11) 1748
43.3%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size57.7 KiB
2023-12-09T20:53:34.149137image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row50
2nd row50
3rd row50
4th row50
5th row50
ValueCountFrequency (%)
50 1000
100.0%
2023-12-09T20:53:34.358389image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 1000
50.0%
0 1000
50.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1000
50.0%
0 1000
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 1000
50.0%
0 1000
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 1000
50.0%
0 1000
50.0%
Distinct19
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size68.6 KiB
2023-12-09T20:53:34.550960image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length46
Median length13
Mean length13.075
Min length4

Characters and Unicode

Total characters13075
Distinct characters21
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)1.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 965
47.5%
available 965
47.5%
2015 22
 
1.1%
2013 18
 
0.9%
2012 15
 
0.7%
2010 8
 
0.4%
2008 6
 
0.3%
2001 5
 
0.2%
2006 5
 
0.2%
2014 5
 
0.2%
Other values (7) 16
 
0.8%
2023-12-09T20:53:34.859587image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1930
14.8%
a 1930
14.8%
1030
7.9%
N 965
7.4%
i 965
7.4%
o 965
7.4%
b 965
7.4%
e 965
7.4%
v 965
7.4%
A 965
7.4%
Other values (11) 1430
10.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9650
73.8%
Uppercase Letter 1930
 
14.8%
Space Separator 1030
 
7.9%
Decimal Number 400
 
3.1%
Other Punctuation 65
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 139
34.8%
2 119
29.8%
1 76
19.0%
5 26
 
6.5%
3 22
 
5.5%
8 6
 
1.5%
6 6
 
1.5%
4 5
 
1.2%
9 1
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
l 1930
20.0%
a 1930
20.0%
i 965
10.0%
o 965
10.0%
b 965
10.0%
e 965
10.0%
v 965
10.0%
t 965
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 965
50.0%
A 965
50.0%
Space Separator
ValueCountFrequency (%)
1030
100.0%
Other Punctuation
ValueCountFrequency (%)
, 65
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11580
88.6%
Common 1495
 
11.4%

Most frequent character per script

Common
ValueCountFrequency (%)
1030
68.9%
0 139
 
9.3%
2 119
 
8.0%
1 76
 
5.1%
, 65
 
4.3%
5 26
 
1.7%
3 22
 
1.5%
8 6
 
0.4%
6 6
 
0.4%
4 5
 
0.3%
Latin
ValueCountFrequency (%)
l 1930
16.7%
a 1930
16.7%
N 965
8.3%
i 965
8.3%
o 965
8.3%
b 965
8.3%
e 965
8.3%
v 965
8.3%
A 965
8.3%
t 965
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13075
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1930
14.8%
a 1930
14.8%
1030
7.9%
N 965
7.4%
i 965
7.4%
o 965
7.4%
b 965
7.4%
e 965
7.4%
v 965
7.4%
A 965
7.4%
Other values (11) 1430
10.9%
Distinct30
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:53:35.094437image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.895
Min length10

Characters and Unicode

Total characters12895
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)2.6%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 965
49.1%
available 965
49.1%
08/27/2015 5
 
0.3%
09/22/2015 2
 
0.1%
08/11/2015 2
 
0.1%
06/30/2014 1
 
0.1%
03/22/2011 1
 
0.1%
09/28/2012 1
 
0.1%
05/03/2015 1
 
0.1%
11/23/2013 1
 
0.1%
Other values (21) 21
 
1.1%
2023-12-09T20:53:35.476054image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1930
15.0%
l 1930
15.0%
N 965
7.5%
o 965
7.5%
t 965
7.5%
965
7.5%
A 965
7.5%
v 965
7.5%
i 965
7.5%
b 965
7.5%
Other values (12) 1315
10.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9650
74.8%
Uppercase Letter 1930
 
15.0%
Space Separator 965
 
7.5%
Decimal Number 280
 
2.2%
Other Punctuation 70
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 73
26.1%
1 66
23.6%
2 64
22.9%
5 25
 
8.9%
8 13
 
4.6%
3 11
 
3.9%
7 9
 
3.2%
9 8
 
2.9%
4 6
 
2.1%
6 5
 
1.8%
Lowercase Letter
ValueCountFrequency (%)
a 1930
20.0%
l 1930
20.0%
o 965
10.0%
t 965
10.0%
v 965
10.0%
i 965
10.0%
b 965
10.0%
e 965
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 965
50.0%
A 965
50.0%
Space Separator
ValueCountFrequency (%)
965
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 70
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11580
89.8%
Common 1315
 
10.2%

Most frequent character per script

Common
ValueCountFrequency (%)
965
73.4%
0 73
 
5.6%
/ 70
 
5.3%
1 66
 
5.0%
2 64
 
4.9%
5 25
 
1.9%
8 13
 
1.0%
3 11
 
0.8%
7 9
 
0.7%
9 8
 
0.6%
Other values (2) 11
 
0.8%
Latin
ValueCountFrequency (%)
a 1930
16.7%
l 1930
16.7%
N 965
8.3%
o 965
8.3%
t 965
8.3%
A 965
8.3%
v 965
8.3%
i 965
8.3%
b 965
8.3%
e 965
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12895
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1930
15.0%
l 1930
15.0%
N 965
7.5%
o 965
7.5%
t 965
7.5%
965
7.5%
A 965
7.5%
v 965
7.5%
i 965
7.5%
b 965
7.5%
Other values (12) 1315
10.2%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size58.0 KiB
2023-12-09T20:53:35.605926image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length2
Mean length2.221
Min length2

Characters and Unicode

Total characters2221
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo
ValueCountFrequency (%)
no 779
77.9%
yes 221
 
22.1%
2023-12-09T20:53:35.834244image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 779
35.1%
o 779
35.1%
Y 221
 
10.0%
e 221
 
10.0%
s 221
 
10.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1221
55.0%
Uppercase Letter 1000
45.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 779
63.8%
e 221
 
18.1%
s 221
 
18.1%
Uppercase Letter
ValueCountFrequency (%)
N 779
77.9%
Y 221
 
22.1%

Most occurring scripts

ValueCountFrequency (%)
Latin 2221
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 779
35.1%
o 779
35.1%
Y 221
 
10.0%
e 221
 
10.0%
s 221
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2221
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 779
35.1%
o 779
35.1%
Y 221
 
10.0%
e 221
 
10.0%
s 221
 
10.0%
Distinct663
Distinct (%)66.3%
Missing0
Missing (%)0.0%
Memory size60.0 KiB
2023-12-09T20:53:36.357649image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length4
Mean length4.333
Min length1

Characters and Unicode

Total characters4333
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique451 ?
Unique (%)45.1%

Sample

1st rowNot Available
2nd row7.7
3rd row108
4th row125.4
5th row96.5
ValueCountFrequency (%)
not 26
 
2.5%
available 26
 
2.5%
78.1 6
 
0.6%
83.3 6
 
0.6%
99.5 5
 
0.5%
75.1 5
 
0.5%
85.9 5
 
0.5%
83.2 5
 
0.5%
79.9 5
 
0.5%
88.9 4
 
0.4%
Other values (654) 933
90.9%
2023-12-09T20:53:37.019916image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 874
20.2%
1 527
12.2%
7 348
 
8.0%
8 343
 
7.9%
9 313
 
7.2%
6 308
 
7.1%
5 300
 
6.9%
4 271
 
6.3%
2 271
 
6.3%
3 254
 
5.9%
Other values (12) 524
12.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3121
72.0%
Other Punctuation 874
 
20.2%
Lowercase Letter 260
 
6.0%
Uppercase Letter 52
 
1.2%
Space Separator 26
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 527
16.9%
7 348
11.2%
8 343
11.0%
9 313
10.0%
6 308
9.9%
5 300
9.6%
4 271
8.7%
2 271
8.7%
3 254
8.1%
0 186
 
6.0%
Lowercase Letter
ValueCountFrequency (%)
l 52
20.0%
a 52
20.0%
o 26
10.0%
e 26
10.0%
b 26
10.0%
i 26
10.0%
v 26
10.0%
t 26
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 26
50.0%
N 26
50.0%
Other Punctuation
ValueCountFrequency (%)
. 874
100.0%
Space Separator
ValueCountFrequency (%)
26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4021
92.8%
Latin 312
 
7.2%

Most frequent character per script

Common
ValueCountFrequency (%)
. 874
21.7%
1 527
13.1%
7 348
 
8.7%
8 343
 
8.5%
9 313
 
7.8%
6 308
 
7.7%
5 300
 
7.5%
4 271
 
6.7%
2 271
 
6.7%
3 254
 
6.3%
Other values (2) 212
 
5.3%
Latin
ValueCountFrequency (%)
l 52
16.7%
a 52
16.7%
o 26
8.3%
e 26
8.3%
b 26
8.3%
i 26
8.3%
v 26
8.3%
A 26
8.3%
t 26
8.3%
N 26
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4333
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 874
20.2%
1 527
12.2%
7 348
 
8.0%
8 343
 
7.9%
9 313
 
7.2%
6 308
 
7.1%
5 300
 
6.9%
4 271
 
6.3%
2 271
 
6.3%
3 254
 
5.9%
Other values (12) 524
12.1%
Distinct635
Distinct (%)63.5%
Missing0
Missing (%)0.0%
Memory size60.8 KiB
2023-12-09T20:53:37.524662image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length4
Mean length5.18
Min length1

Characters and Unicode

Total characters5180
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique456 ?
Unique (%)45.6%

Sample

1st rowNot Available
2nd rowNot Available
3rd row107.3
4th row120.4
5th row98.3
ValueCountFrequency (%)
not 120
 
10.7%
available 120
 
10.7%
70.6 6
 
0.5%
77.2 5
 
0.4%
89.2 5
 
0.4%
75.5 5
 
0.4%
62.1 4
 
0.4%
64.8 4
 
0.4%
93.2 4
 
0.4%
88.6 4
 
0.4%
Other values (626) 843
75.3%
2023-12-09T20:53:38.136154image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 791
15.3%
1 495
 
9.6%
7 318
 
6.1%
8 305
 
5.9%
5 272
 
5.3%
9 270
 
5.2%
6 261
 
5.0%
2 252
 
4.9%
3 240
 
4.6%
a 240
 
4.6%
Other values (12) 1736
33.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2829
54.6%
Lowercase Letter 1200
23.2%
Other Punctuation 791
 
15.3%
Uppercase Letter 240
 
4.6%
Space Separator 120
 
2.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 495
17.5%
7 318
11.2%
8 305
10.8%
5 272
9.6%
9 270
9.5%
6 261
9.2%
2 252
8.9%
3 240
8.5%
4 234
8.3%
0 182
 
6.4%
Lowercase Letter
ValueCountFrequency (%)
a 240
20.0%
l 240
20.0%
o 120
10.0%
e 120
10.0%
b 120
10.0%
i 120
10.0%
v 120
10.0%
t 120
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 120
50.0%
N 120
50.0%
Other Punctuation
ValueCountFrequency (%)
. 791
100.0%
Space Separator
ValueCountFrequency (%)
120
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3740
72.2%
Latin 1440
 
27.8%

Most frequent character per script

Common
ValueCountFrequency (%)
. 791
21.1%
1 495
13.2%
7 318
8.5%
8 305
 
8.2%
5 272
 
7.3%
9 270
 
7.2%
6 261
 
7.0%
2 252
 
6.7%
3 240
 
6.4%
4 234
 
6.3%
Other values (2) 302
 
8.1%
Latin
ValueCountFrequency (%)
a 240
16.7%
l 240
16.7%
o 120
8.3%
e 120
8.3%
b 120
8.3%
i 120
8.3%
v 120
8.3%
A 120
8.3%
t 120
8.3%
N 120
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5180
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 791
15.3%
1 495
 
9.6%
7 318
 
6.1%
8 305
 
5.9%
5 272
 
5.3%
9 270
 
5.2%
6 261
 
5.0%
2 252
 
4.9%
3 240
 
4.6%
a 240
 
4.6%
Other values (12) 1736
33.5%
Distinct564
Distinct (%)56.4%
Missing0
Missing (%)0.0%
Memory size59.9 KiB
2023-12-09T20:53:38.619017image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length4
Mean length4.202
Min length2

Characters and Unicode

Total characters4202
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique335 ?
Unique (%)33.5%

Sample

1st row67.3
2nd row26.9
3rd row78
4th row90.8
5th row81.6
ValueCountFrequency (%)
59.6 17
 
1.7%
not 8
 
0.8%
available 8
 
0.8%
148.3 8
 
0.8%
38.6 7
 
0.7%
100 7
 
0.7%
93.8 6
 
0.6%
92.6 6
 
0.6%
97.9 6
 
0.6%
96.5 6
 
0.6%
Other values (555) 929
92.2%
2023-12-09T20:53:39.227646image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 905
21.5%
1 576
13.7%
9 444
10.6%
8 394
9.4%
7 297
 
7.1%
6 266
 
6.3%
4 258
 
6.1%
5 253
 
6.0%
3 246
 
5.9%
2 231
 
5.5%
Other values (12) 332
 
7.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3193
76.0%
Other Punctuation 905
 
21.5%
Lowercase Letter 80
 
1.9%
Uppercase Letter 16
 
0.4%
Space Separator 8
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 576
18.0%
9 444
13.9%
8 394
12.3%
7 297
9.3%
6 266
8.3%
4 258
8.1%
5 253
7.9%
3 246
7.7%
2 231
7.2%
0 228
 
7.1%
Lowercase Letter
ValueCountFrequency (%)
a 16
20.0%
l 16
20.0%
o 8
10.0%
t 8
10.0%
v 8
10.0%
i 8
10.0%
b 8
10.0%
e 8
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 8
50.0%
A 8
50.0%
Other Punctuation
ValueCountFrequency (%)
. 905
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4106
97.7%
Latin 96
 
2.3%

Most frequent character per script

Common
ValueCountFrequency (%)
. 905
22.0%
1 576
14.0%
9 444
10.8%
8 394
9.6%
7 297
 
7.2%
6 266
 
6.5%
4 258
 
6.3%
5 253
 
6.2%
3 246
 
6.0%
2 231
 
5.6%
Other values (2) 236
 
5.7%
Latin
ValueCountFrequency (%)
a 16
16.7%
l 16
16.7%
N 8
8.3%
o 8
8.3%
t 8
8.3%
A 8
8.3%
v 8
8.3%
i 8
8.3%
b 8
8.3%
e 8
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4202
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 905
21.5%
1 576
13.7%
9 444
10.6%
8 394
9.4%
7 297
 
7.1%
6 266
 
6.3%
4 258
 
6.1%
5 253
 
6.0%
3 246
 
5.9%
2 231
 
5.5%
Other values (12) 332
 
7.9%
Distinct672
Distinct (%)67.2%
Missing0
Missing (%)0.0%
Memory size60.3 KiB
2023-12-09T20:53:39.746131image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length8
Mean length4.581
Min length1

Characters and Unicode

Total characters4581
Distinct characters23
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique452 ?
Unique (%)45.2%

Sample

1st rowNot Available
2nd row-71.3
3rd row38.5
4th row38.2
5th row18.3
ValueCountFrequency (%)
not 34
 
3.3%
available 34
 
3.3%
4.3 8
 
0.8%
12.8 6
 
0.6%
2.3 6
 
0.6%
3.9 6
 
0.6%
16.9 6
 
0.6%
9.6 5
 
0.5%
11.3 5
 
0.5%
24.3 5
 
0.5%
Other values (524) 919
88.9%
2023-12-09T20:53:40.414278image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 885
19.3%
- 569
12.4%
1 404
8.8%
2 385
8.4%
3 358
7.8%
4 308
 
6.7%
9 235
 
5.1%
6 228
 
5.0%
5 226
 
4.9%
8 222
 
4.8%
Other values (13) 761
16.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2685
58.6%
Other Punctuation 885
 
19.3%
Dash Punctuation 569
 
12.4%
Lowercase Letter 340
 
7.4%
Uppercase Letter 68
 
1.5%
Space Separator 34
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 404
15.0%
2 385
14.3%
3 358
13.3%
4 308
11.5%
9 235
8.8%
6 228
8.5%
5 226
8.4%
8 222
8.3%
7 197
7.3%
0 122
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
l 68
20.0%
a 68
20.0%
b 34
10.0%
e 34
10.0%
o 34
10.0%
i 34
10.0%
v 34
10.0%
t 34
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 34
50.0%
N 34
50.0%
Other Punctuation
ValueCountFrequency (%)
. 885
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 569
100.0%
Space Separator
ValueCountFrequency (%)
34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4173
91.1%
Latin 408
 
8.9%

Most frequent character per script

Common
ValueCountFrequency (%)
. 885
21.2%
- 569
13.6%
1 404
9.7%
2 385
9.2%
3 358
8.6%
4 308
 
7.4%
9 235
 
5.6%
6 228
 
5.5%
5 226
 
5.4%
8 222
 
5.3%
Other values (3) 353
 
8.5%
Latin
ValueCountFrequency (%)
l 68
16.7%
a 68
16.7%
b 34
8.3%
e 34
8.3%
o 34
8.3%
i 34
8.3%
v 34
8.3%
A 34
8.3%
t 34
8.3%
N 34
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4581
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 885
19.3%
- 569
12.4%
1 404
8.8%
2 385
8.4%
3 358
7.8%
4 308
 
6.7%
9 235
 
5.1%
6 228
 
5.0%
5 226
 
4.9%
8 222
 
4.8%
Other values (13) 761
16.6%
Distinct974
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size64.8 KiB
2023-12-09T20:53:40.766582image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length9
Mean length9.219
Min length6

Characters and Unicode

Total characters9219
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique972 ?
Unique (%)97.2%

Sample

1st rowNot Available
2nd row485929.5
3rd row27190398.2
4th row121036671.7
5th row40950400.1
ValueCountFrequency (%)
not 26
 
2.5%
available 26
 
2.5%
85267242.4 2
 
0.2%
43746501.7 1
 
0.1%
6372171.5 1
 
0.1%
4057503.1 1
 
0.1%
1404532.5 1
 
0.1%
3997410.4 1
 
0.1%
11694453.3 1
 
0.1%
6206324.1 1
 
0.1%
Other values (965) 965
94.1%
2023-12-09T20:53:41.251760image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 938
10.2%
. 877
9.5%
6 843
9.1%
5 839
9.1%
3 829
9.0%
4 803
8.7%
2 798
8.7%
7 795
8.6%
8 792
8.6%
9 752
8.2%
Other values (12) 953
10.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8004
86.8%
Other Punctuation 877
 
9.5%
Lowercase Letter 260
 
2.8%
Uppercase Letter 52
 
0.6%
Space Separator 26
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 938
11.7%
6 843
10.5%
5 839
10.5%
3 829
10.4%
4 803
10.0%
2 798
10.0%
7 795
9.9%
8 792
9.9%
9 752
9.4%
0 615
7.7%
Lowercase Letter
ValueCountFrequency (%)
l 52
20.0%
a 52
20.0%
o 26
10.0%
e 26
10.0%
b 26
10.0%
i 26
10.0%
v 26
10.0%
t 26
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 26
50.0%
N 26
50.0%
Other Punctuation
ValueCountFrequency (%)
. 877
100.0%
Space Separator
ValueCountFrequency (%)
26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8907
96.6%
Latin 312
 
3.4%

Most frequent character per script

Common
ValueCountFrequency (%)
1 938
10.5%
. 877
9.8%
6 843
9.5%
5 839
9.4%
3 829
9.3%
4 803
9.0%
2 798
9.0%
7 795
8.9%
8 792
8.9%
9 752
8.4%
Other values (2) 641
7.2%
Latin
ValueCountFrequency (%)
l 52
16.7%
a 52
16.7%
o 26
8.3%
e 26
8.3%
b 26
8.3%
i 26
8.3%
v 26
8.3%
A 26
8.3%
t 26
8.3%
N 26
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9219
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 938
10.2%
. 877
9.5%
6 843
9.1%
5 839
9.1%
3 829
9.0%
4 803
8.7%
2 798
8.7%
7 795
8.6%
8 792
8.6%
9 752
8.2%
Other values (12) 953
10.3%
Distinct880
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Memory size65.1 KiB
2023-12-09T20:53:41.618511image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length9
Mean length9.558
Min length6

Characters and Unicode

Total characters9558
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique878 ?
Unique (%)87.8%

Sample

1st rowNot Available
2nd rowNot Available
3rd row27013395.8
4th row116169047.2
5th row41721535.6
ValueCountFrequency (%)
not 120
 
10.7%
available 120
 
10.7%
83875899.2 2
 
0.2%
23536662.5 1
 
0.1%
14321849.8 1
 
0.1%
6488865 1
 
0.1%
10063250.5 1
 
0.1%
5069958.7 1
 
0.1%
84793414 1
 
0.1%
6286470.1 1
 
0.1%
Other values (871) 871
77.8%
2023-12-09T20:53:42.114149image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 814
 
8.5%
1 796
 
8.3%
. 778
 
8.1%
6 757
 
7.9%
4 748
 
7.8%
3 722
 
7.6%
7 712
 
7.4%
2 698
 
7.3%
9 687
 
7.2%
8 683
 
7.1%
Other values (12) 2163
22.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7220
75.5%
Lowercase Letter 1200
 
12.6%
Other Punctuation 778
 
8.1%
Uppercase Letter 240
 
2.5%
Space Separator 120
 
1.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 814
11.3%
1 796
11.0%
6 757
10.5%
4 748
10.4%
3 722
10.0%
7 712
9.9%
2 698
9.7%
9 687
9.5%
8 683
9.5%
0 603
8.4%
Lowercase Letter
ValueCountFrequency (%)
l 240
20.0%
a 240
20.0%
o 120
10.0%
e 120
10.0%
b 120
10.0%
i 120
10.0%
v 120
10.0%
t 120
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 120
50.0%
N 120
50.0%
Other Punctuation
ValueCountFrequency (%)
. 778
100.0%
Space Separator
ValueCountFrequency (%)
120
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8118
84.9%
Latin 1440
 
15.1%

Most frequent character per script

Common
ValueCountFrequency (%)
5 814
10.0%
1 796
9.8%
. 778
9.6%
6 757
9.3%
4 748
9.2%
3 722
8.9%
7 712
8.8%
2 698
8.6%
9 687
8.5%
8 683
8.4%
Other values (2) 723
8.9%
Latin
ValueCountFrequency (%)
l 240
16.7%
a 240
16.7%
o 120
8.3%
e 120
8.3%
b 120
8.3%
i 120
8.3%
v 120
8.3%
A 120
8.3%
t 120
8.3%
N 120
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9558
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 814
 
8.5%
1 796
 
8.3%
. 778
 
8.1%
6 757
 
7.9%
4 748
 
7.8%
3 722
 
7.6%
7 712
 
7.4%
2 698
 
7.3%
9 687
 
7.2%
8 683
 
7.1%
Other values (12) 2163
22.6%
Distinct971
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size64.7 KiB
2023-12-09T20:53:42.479232image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length9
Mean length9.173
Min length4

Characters and Unicode

Total characters9173
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique963 ?
Unique (%)96.3%

Sample

1st row10357149.1
2nd row1694155.9
3rd row19635698.4
4th row87610486.1
5th row34609974.9
ValueCountFrequency (%)
not 8
 
0.8%
available 8
 
0.8%
4173284.1 6
 
0.6%
10383761.8 6
 
0.6%
10435228.1 5
 
0.5%
2086642.1 4
 
0.4%
2132169.9 3
 
0.3%
10576447.3 3
 
0.3%
5191880.9 2
 
0.2%
5942408.4 1
 
0.1%
Other values (962) 962
95.4%
2023-12-09T20:53:42.970570image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 993
10.8%
. 889
9.7%
4 849
9.3%
5 840
9.2%
6 827
9.0%
2 821
9.0%
7 799
8.7%
8 794
8.7%
3 788
8.6%
9 767
8.4%
Other values (12) 806
8.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8180
89.2%
Other Punctuation 889
 
9.7%
Lowercase Letter 80
 
0.9%
Uppercase Letter 16
 
0.2%
Space Separator 8
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 993
12.1%
4 849
10.4%
5 840
10.3%
6 827
10.1%
2 821
10.0%
7 799
9.8%
8 794
9.7%
3 788
9.6%
9 767
9.4%
0 702
8.6%
Lowercase Letter
ValueCountFrequency (%)
l 16
20.0%
a 16
20.0%
e 8
10.0%
o 8
10.0%
b 8
10.0%
i 8
10.0%
v 8
10.0%
t 8
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 8
50.0%
N 8
50.0%
Other Punctuation
ValueCountFrequency (%)
. 889
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9077
99.0%
Latin 96
 
1.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 993
10.9%
. 889
9.8%
4 849
9.4%
5 840
9.3%
6 827
9.1%
2 821
9.0%
7 799
8.8%
8 794
8.7%
3 788
8.7%
9 767
8.4%
Other values (2) 710
7.8%
Latin
ValueCountFrequency (%)
l 16
16.7%
a 16
16.7%
e 8
8.3%
o 8
8.3%
b 8
8.3%
i 8
8.3%
v 8
8.3%
A 8
8.3%
t 8
8.3%
N 8
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9173
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 993
10.8%
. 889
9.7%
4 849
9.3%
5 840
9.2%
6 827
9.0%
2 821
9.0%
7 799
8.7%
8 794
8.7%
3 788
8.6%
9 767
8.4%
Other values (12) 806
8.8%
Distinct240
Distinct (%)24.0%
Missing0
Missing (%)0.0%
Memory size59.7 KiB
2023-12-09T20:53:43.493719image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length3
Mean length3.954
Min length1

Characters and Unicode

Total characters3954
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)9.3%

Sample

1st rowNot Available
2nd row1.2
3rd row19.3
4th row8.7
5th row6.8
ValueCountFrequency (%)
not 85
 
7.8%
available 85
 
7.8%
4.1 24
 
2.2%
3.7 19
 
1.8%
4 18
 
1.7%
4.5 17
 
1.6%
3.9 17
 
1.6%
3.4 17
 
1.6%
4.4 16
 
1.5%
3.8 15
 
1.4%
Other values (231) 772
71.2%
2023-12-09T20:53:44.131907image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 834
21.1%
1 346
 
8.8%
3 265
 
6.7%
4 257
 
6.5%
2 249
 
6.3%
5 219
 
5.5%
a 170
 
4.3%
l 170
 
4.3%
6 168
 
4.2%
7 156
 
3.9%
Other values (12) 1120
28.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2015
51.0%
Lowercase Letter 850
21.5%
Other Punctuation 834
21.1%
Uppercase Letter 170
 
4.3%
Space Separator 85
 
2.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 346
17.2%
3 265
13.2%
4 257
12.8%
2 249
12.4%
5 219
10.9%
6 168
8.3%
7 156
7.7%
8 141
7.0%
9 140
6.9%
0 74
 
3.7%
Lowercase Letter
ValueCountFrequency (%)
a 170
20.0%
l 170
20.0%
o 85
10.0%
e 85
10.0%
b 85
10.0%
i 85
10.0%
v 85
10.0%
t 85
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 85
50.0%
A 85
50.0%
Other Punctuation
ValueCountFrequency (%)
. 834
100.0%
Space Separator
ValueCountFrequency (%)
85
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2934
74.2%
Latin 1020
 
25.8%

Most frequent character per script

Common
ValueCountFrequency (%)
. 834
28.4%
1 346
11.8%
3 265
 
9.0%
4 257
 
8.8%
2 249
 
8.5%
5 219
 
7.5%
6 168
 
5.7%
7 156
 
5.3%
8 141
 
4.8%
9 140
 
4.8%
Other values (2) 159
 
5.4%
Latin
ValueCountFrequency (%)
a 170
16.7%
l 170
16.7%
N 85
8.3%
o 85
8.3%
e 85
8.3%
b 85
8.3%
i 85
8.3%
v 85
8.3%
A 85
8.3%
t 85
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3954
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 834
21.1%
1 346
 
8.8%
3 265
 
6.7%
4 257
 
6.5%
2 249
 
6.3%
5 219
 
5.5%
a 170
 
4.3%
l 170
 
4.3%
6 168
 
4.2%
7 156
 
3.9%
Other values (12) 1120
28.3%
Distinct28
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size60.2 KiB
2023-12-09T20:53:44.360697image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length3
Mean length4.493
Min length1

Characters and Unicode

Total characters4493
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)1.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd row0.4
4th row0.9
5th row0.8
ValueCountFrequency (%)
not 179
15.2%
available 179
15.2%
0 127
10.8%
0.6 102
8.7%
0.5 101
8.6%
0.7 88
7.5%
0.1 87
7.4%
0.4 63
 
5.3%
0.3 51
 
4.3%
0.8 50
 
4.2%
Other values (19) 152
12.9%
2023-12-09T20:53:44.692891image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 755
16.8%
. 667
14.8%
l 358
 
8.0%
a 358
 
8.0%
o 179
 
4.0%
e 179
 
4.0%
b 179
 
4.0%
N 179
 
4.0%
i 179
 
4.0%
v 179
 
4.0%
Other values (12) 1281
28.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1790
39.8%
Decimal Number 1499
33.4%
Other Punctuation 667
 
14.8%
Uppercase Letter 358
 
8.0%
Space Separator 179
 
4.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 755
50.4%
1 163
 
10.9%
5 109
 
7.3%
6 108
 
7.2%
7 92
 
6.1%
4 65
 
4.3%
3 59
 
3.9%
2 54
 
3.6%
8 50
 
3.3%
9 44
 
2.9%
Lowercase Letter
ValueCountFrequency (%)
l 358
20.0%
a 358
20.0%
o 179
10.0%
e 179
10.0%
b 179
10.0%
i 179
10.0%
v 179
10.0%
t 179
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 179
50.0%
A 179
50.0%
Other Punctuation
ValueCountFrequency (%)
. 667
100.0%
Space Separator
ValueCountFrequency (%)
179
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2345
52.2%
Latin 2148
47.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 755
32.2%
. 667
28.4%
179
 
7.6%
1 163
 
7.0%
5 109
 
4.6%
6 108
 
4.6%
7 92
 
3.9%
4 65
 
2.8%
3 59
 
2.5%
2 54
 
2.3%
Other values (2) 94
 
4.0%
Latin
ValueCountFrequency (%)
l 358
16.7%
a 358
16.7%
o 179
8.3%
e 179
8.3%
b 179
8.3%
N 179
8.3%
i 179
8.3%
v 179
8.3%
A 179
8.3%
t 179
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4493
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 755
16.8%
. 667
14.8%
l 358
 
8.0%
a 358
 
8.0%
o 179
 
4.0%
e 179
 
4.0%
b 179
 
4.0%
N 179
 
4.0%
i 179
 
4.0%
v 179
 
4.0%
Other values (12) 1281
28.5%
Distinct780
Distinct (%)78.0%
Missing0
Missing (%)0.0%
Memory size60.5 KiB
2023-12-09T20:53:45.128312image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length5
Mean length4.791
Min length1

Characters and Unicode

Total characters4791
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique630 ?
Unique (%)63.0%

Sample

1st rowNot Available
2nd row17.2
3rd row252.3
4th row194
5th row151.4
ValueCountFrequency (%)
not 26
 
2.5%
available 26
 
2.5%
151.4 5
 
0.5%
104.6 4
 
0.4%
97.4 4
 
0.4%
149.4 4
 
0.4%
120.7 4
 
0.4%
109.6 4
 
0.4%
133.8 4
 
0.4%
137.5 4
 
0.4%
Other values (771) 941
91.7%
2023-12-09T20:53:45.711631image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 880
18.4%
. 869
18.1%
2 413
8.6%
4 335
 
7.0%
3 331
 
6.9%
5 300
 
6.3%
7 290
 
6.1%
9 287
 
6.0%
8 276
 
5.8%
6 263
 
5.5%
Other values (12) 547
11.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3584
74.8%
Other Punctuation 869
 
18.1%
Lowercase Letter 260
 
5.4%
Uppercase Letter 52
 
1.1%
Space Separator 26
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 880
24.6%
2 413
11.5%
4 335
 
9.3%
3 331
 
9.2%
5 300
 
8.4%
7 290
 
8.1%
9 287
 
8.0%
8 276
 
7.7%
6 263
 
7.3%
0 209
 
5.8%
Lowercase Letter
ValueCountFrequency (%)
l 52
20.0%
a 52
20.0%
b 26
10.0%
e 26
10.0%
o 26
10.0%
i 26
10.0%
v 26
10.0%
t 26
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 26
50.0%
N 26
50.0%
Other Punctuation
ValueCountFrequency (%)
. 869
100.0%
Space Separator
ValueCountFrequency (%)
26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4479
93.5%
Latin 312
 
6.5%

Most frequent character per script

Common
ValueCountFrequency (%)
1 880
19.6%
. 869
19.4%
2 413
9.2%
4 335
 
7.5%
3 331
 
7.4%
5 300
 
6.7%
7 290
 
6.5%
9 287
 
6.4%
8 276
 
6.2%
6 263
 
5.9%
Other values (2) 235
 
5.2%
Latin
ValueCountFrequency (%)
l 52
16.7%
a 52
16.7%
b 26
8.3%
e 26
8.3%
o 26
8.3%
i 26
8.3%
v 26
8.3%
A 26
8.3%
t 26
8.3%
N 26
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4791
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 880
18.4%
. 869
18.1%
2 413
8.6%
4 335
 
7.0%
3 331
 
6.9%
5 300
 
6.3%
7 290
 
6.1%
9 287
 
6.0%
8 276
 
5.8%
6 263
 
5.5%
Other values (12) 547
11.4%
Distinct716
Distinct (%)71.6%
Missing0
Missing (%)0.0%
Memory size61.2 KiB
2023-12-09T20:53:46.143314image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length5
Mean length5.583
Min length1

Characters and Unicode

Total characters5583
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique575 ?
Unique (%)57.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd row250.4
4th row188
5th row151.5
ValueCountFrequency (%)
not 120
 
10.7%
available 120
 
10.7%
112.8 5
 
0.4%
103.3 4
 
0.4%
123.8 4
 
0.4%
125.1 3
 
0.3%
146.4 3
 
0.3%
130.3 3
 
0.3%
176 3
 
0.3%
140 3
 
0.3%
Other values (707) 852
76.1%
2023-12-09T20:53:46.715631image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 810
14.5%
. 781
14.0%
2 377
 
6.8%
3 333
 
6.0%
8 280
 
5.0%
5 261
 
4.7%
9 254
 
4.5%
6 243
 
4.4%
l 240
 
4.3%
a 240
 
4.3%
Other values (12) 1764
31.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3242
58.1%
Lowercase Letter 1200
 
21.5%
Other Punctuation 781
 
14.0%
Uppercase Letter 240
 
4.3%
Space Separator 120
 
2.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 810
25.0%
2 377
11.6%
3 333
10.3%
8 280
 
8.6%
5 261
 
8.1%
9 254
 
7.8%
6 243
 
7.5%
4 240
 
7.4%
7 231
 
7.1%
0 213
 
6.6%
Lowercase Letter
ValueCountFrequency (%)
l 240
20.0%
a 240
20.0%
b 120
10.0%
e 120
10.0%
o 120
10.0%
i 120
10.0%
v 120
10.0%
t 120
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 120
50.0%
N 120
50.0%
Other Punctuation
ValueCountFrequency (%)
. 781
100.0%
Space Separator
ValueCountFrequency (%)
120
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4143
74.2%
Latin 1440
 
25.8%

Most frequent character per script

Common
ValueCountFrequency (%)
1 810
19.6%
. 781
18.9%
2 377
9.1%
3 333
8.0%
8 280
 
6.8%
5 261
 
6.3%
9 254
 
6.1%
6 243
 
5.9%
4 240
 
5.8%
7 231
 
5.6%
Other values (2) 333
8.0%
Latin
ValueCountFrequency (%)
l 240
16.7%
a 240
16.7%
b 120
8.3%
e 120
8.3%
o 120
8.3%
i 120
8.3%
v 120
8.3%
A 120
8.3%
t 120
8.3%
N 120
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5583
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 810
14.5%
. 781
14.0%
2 377
 
6.8%
3 333
 
6.0%
8 280
 
5.0%
5 261
 
4.7%
9 254
 
4.5%
6 243
 
4.4%
l 240
 
4.3%
a 240
 
4.3%
Other values (12) 1764
31.6%
Distinct515
Distinct (%)51.5%
Missing0
Missing (%)0.0%
Memory size60.6 KiB
2023-12-09T20:53:47.189742image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length5
Mean length4.877
Min length2

Characters and Unicode

Total characters4877
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique348 ?
Unique (%)34.8%

Sample

1st row148.1
2nd row60
3rd row182.2
4th row140.4
5th row127.9
ValueCountFrequency (%)
127.9 115
 
11.4%
121.1 50
 
5.0%
123.1 20
 
2.0%
148.1 16
 
1.6%
133.5 9
 
0.9%
149.8 8
 
0.8%
not 8
 
0.8%
available 8
 
0.8%
118.7 8
 
0.8%
389.8 8
 
0.8%
Other values (506) 758
75.2%
2023-12-09T20:53:47.797854image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1171
24.0%
. 914
18.7%
2 629
12.9%
3 406
 
8.3%
9 333
 
6.8%
7 275
 
5.6%
4 275
 
5.6%
5 229
 
4.7%
8 209
 
4.3%
6 202
 
4.1%
Other values (12) 234
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3859
79.1%
Other Punctuation 914
 
18.7%
Lowercase Letter 80
 
1.6%
Uppercase Letter 16
 
0.3%
Space Separator 8
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1171
30.3%
2 629
16.3%
3 406
 
10.5%
9 333
 
8.6%
7 275
 
7.1%
4 275
 
7.1%
5 229
 
5.9%
8 209
 
5.4%
6 202
 
5.2%
0 130
 
3.4%
Lowercase Letter
ValueCountFrequency (%)
a 16
20.0%
l 16
20.0%
o 8
10.0%
v 8
10.0%
i 8
10.0%
b 8
10.0%
e 8
10.0%
t 8
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 8
50.0%
A 8
50.0%
Other Punctuation
ValueCountFrequency (%)
. 914
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4781
98.0%
Latin 96
 
2.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1171
24.5%
. 914
19.1%
2 629
13.2%
3 406
 
8.5%
9 333
 
7.0%
7 275
 
5.8%
4 275
 
5.8%
5 229
 
4.8%
8 209
 
4.4%
6 202
 
4.2%
Other values (2) 138
 
2.9%
Latin
ValueCountFrequency (%)
a 16
16.7%
l 16
16.7%
o 8
8.3%
N 8
8.3%
A 8
8.3%
v 8
8.3%
i 8
8.3%
b 8
8.3%
e 8
8.3%
t 8
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4877
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1171
24.0%
. 914
18.7%
2 629
12.9%
3 406
 
8.3%
9 333
 
6.8%
7 275
 
5.6%
4 275
 
5.6%
5 229
 
4.7%
8 209
 
4.3%
6 202
 
4.1%
Other values (12) 234
 
4.8%
Distinct671
Distinct (%)67.1%
Missing0
Missing (%)0.0%
Memory size60.3 KiB
2023-12-09T20:53:48.358325image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length8
Mean length4.581
Min length1

Characters and Unicode

Total characters4581
Distinct characters23
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique450 ?
Unique (%)45.0%

Sample

1st rowNot Available
2nd row-71.3
3rd row38.5
4th row38.2
5th row18.3
ValueCountFrequency (%)
not 34
 
3.3%
available 34
 
3.3%
4.3 8
 
0.8%
16.9 6
 
0.6%
2.3 6
 
0.6%
3.9 6
 
0.6%
12.8 6
 
0.6%
18.3 5
 
0.5%
9.6 5
 
0.5%
10.8 5
 
0.5%
Other values (523) 919
88.9%
2023-12-09T20:53:49.049164image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 885
19.3%
- 569
12.4%
1 405
8.8%
2 384
8.4%
3 358
7.8%
4 308
 
6.7%
9 236
 
5.2%
6 227
 
5.0%
5 226
 
4.9%
8 222
 
4.8%
Other values (13) 761
16.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2685
58.6%
Other Punctuation 885
 
19.3%
Dash Punctuation 569
 
12.4%
Lowercase Letter 340
 
7.4%
Uppercase Letter 68
 
1.5%
Space Separator 34
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 405
15.1%
2 384
14.3%
3 358
13.3%
4 308
11.5%
9 236
8.8%
6 227
8.5%
5 226
8.4%
8 222
8.3%
7 198
7.4%
0 121
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
l 68
20.0%
a 68
20.0%
e 34
10.0%
o 34
10.0%
b 34
10.0%
i 34
10.0%
v 34
10.0%
t 34
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 34
50.0%
N 34
50.0%
Other Punctuation
ValueCountFrequency (%)
. 885
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 569
100.0%
Space Separator
ValueCountFrequency (%)
34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4173
91.1%
Latin 408
 
8.9%

Most frequent character per script

Common
ValueCountFrequency (%)
. 885
21.2%
- 569
13.6%
1 405
9.7%
2 384
9.2%
3 358
8.6%
4 308
 
7.4%
9 236
 
5.7%
6 227
 
5.4%
5 226
 
5.4%
8 222
 
5.3%
Other values (3) 353
 
8.5%
Latin
ValueCountFrequency (%)
l 68
16.7%
a 68
16.7%
e 34
8.3%
o 34
8.3%
b 34
8.3%
i 34
8.3%
v 34
8.3%
A 34
8.3%
t 34
8.3%
N 34
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4581
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 885
19.3%
- 569
12.4%
1 405
8.8%
2 384
8.4%
3 358
7.8%
4 308
 
6.7%
9 236
 
5.2%
6 227
 
5.0%
5 226
 
4.9%
8 222
 
4.8%
Other values (13) 761
16.6%
Distinct974
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size65.0 KiB
2023-12-09T20:53:49.440029image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length11
Mean length9.468
Min length6

Characters and Unicode

Total characters9468
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique972 ?
Unique (%)97.2%

Sample

1st rowNot Available
2nd row1083546.4
3rd row63531002.4
4th row187204876.1
5th row64221491.4
ValueCountFrequency (%)
not 26
 
2.5%
available 26
 
2.5%
267739141.1 2
 
0.2%
10711911.9 1
 
0.1%
5795317.8 1
 
0.1%
15037188.3 1
 
0.1%
32589815.1 1
 
0.1%
7381081 1
 
0.1%
72457271.4 1
 
0.1%
10575448 1
 
0.1%
Other values (965) 965
94.1%
2023-12-09T20:53:49.956159image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1080
11.4%
. 871
9.2%
7 840
8.9%
8 834
8.8%
6 829
8.8%
5 829
8.8%
2 821
8.7%
4 802
8.5%
9 789
8.3%
3 774
8.2%
Other values (12) 999
10.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8259
87.2%
Other Punctuation 871
 
9.2%
Lowercase Letter 260
 
2.7%
Uppercase Letter 52
 
0.5%
Space Separator 26
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1080
13.1%
7 840
10.2%
8 834
10.1%
6 829
10.0%
5 829
10.0%
2 821
9.9%
4 802
9.7%
9 789
9.6%
3 774
9.4%
0 661
8.0%
Lowercase Letter
ValueCountFrequency (%)
l 52
20.0%
a 52
20.0%
o 26
10.0%
e 26
10.0%
b 26
10.0%
i 26
10.0%
v 26
10.0%
t 26
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 26
50.0%
N 26
50.0%
Other Punctuation
ValueCountFrequency (%)
. 871
100.0%
Space Separator
ValueCountFrequency (%)
26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9156
96.7%
Latin 312
 
3.3%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1080
11.8%
. 871
9.5%
7 840
9.2%
8 834
9.1%
6 829
9.1%
5 829
9.1%
2 821
9.0%
4 802
8.8%
9 789
8.6%
3 774
8.5%
Other values (2) 687
7.5%
Latin
ValueCountFrequency (%)
l 52
16.7%
a 52
16.7%
o 26
8.3%
e 26
8.3%
b 26
8.3%
i 26
8.3%
v 26
8.3%
A 26
8.3%
t 26
8.3%
N 26
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9468
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1080
11.4%
. 871
9.2%
7 840
8.9%
8 834
8.8%
6 829
8.8%
5 829
8.8%
2 821
8.7%
4 802
8.5%
9 789
8.3%
3 774
8.2%
Other values (12) 999
10.6%
Distinct880
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Memory size65.3 KiB
2023-12-09T20:53:50.332847image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length11
Mean length9.774
Min length6

Characters and Unicode

Total characters9774
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique878 ?
Unique (%)87.8%

Sample

1st rowNot Available
2nd rowNot Available
3rd row63037892.7
4th row181446814.4
5th row64263636
ValueCountFrequency (%)
not 120
 
10.7%
available 120
 
10.7%
263370323.4 2
 
0.2%
19529559.9 1
 
0.1%
11362675.4 1
 
0.1%
6245238 1
 
0.1%
4917849.3 1
 
0.1%
5379207.7 1
 
0.1%
3167868.3 1
 
0.1%
9638720.5 1
 
0.1%
Other values (871) 871
77.8%
2023-12-09T20:53:50.850647image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 957
9.8%
6 787
 
8.1%
. 771
 
7.9%
2 756
 
7.7%
9 741
 
7.6%
8 734
 
7.5%
3 732
 
7.5%
5 724
 
7.4%
7 720
 
7.4%
4 718
 
7.3%
Other values (12) 2134
21.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7443
76.2%
Lowercase Letter 1200
 
12.3%
Other Punctuation 771
 
7.9%
Uppercase Letter 240
 
2.5%
Space Separator 120
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 957
12.9%
6 787
10.6%
2 756
10.2%
9 741
10.0%
8 734
9.9%
3 732
9.8%
5 724
9.7%
7 720
9.7%
4 718
9.6%
0 574
7.7%
Lowercase Letter
ValueCountFrequency (%)
l 240
20.0%
a 240
20.0%
t 120
10.0%
v 120
10.0%
o 120
10.0%
e 120
10.0%
b 120
10.0%
i 120
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 120
50.0%
N 120
50.0%
Other Punctuation
ValueCountFrequency (%)
. 771
100.0%
Space Separator
ValueCountFrequency (%)
120
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8334
85.3%
Latin 1440
 
14.7%

Most frequent character per script

Common
ValueCountFrequency (%)
1 957
11.5%
6 787
9.4%
. 771
9.3%
2 756
9.1%
9 741
8.9%
8 734
8.8%
3 732
8.8%
5 724
8.7%
7 720
8.6%
4 718
8.6%
Other values (2) 694
8.3%
Latin
ValueCountFrequency (%)
l 240
16.7%
a 240
16.7%
t 120
8.3%
v 120
8.3%
A 120
8.3%
o 120
8.3%
e 120
8.3%
b 120
8.3%
i 120
8.3%
N 120
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9774
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 957
9.8%
6 787
 
8.1%
. 771
 
7.9%
2 756
 
7.7%
9 741
 
7.6%
8 734
 
7.5%
3 732
 
7.5%
5 724
 
7.4%
7 720
 
7.4%
4 718
 
7.3%
Other values (12) 2134
21.8%
Distinct952
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size65.1 KiB
2023-12-09T20:53:51.253626image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length10
Mean length9.487
Min length5

Characters and Unicode

Total characters9487
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique936 ?
Unique (%)93.6%

Sample

1st row22772503.4
2nd row3777701.4
3rd row45879268.5
4th row135505292.4
5th row54277964.4
ValueCountFrequency (%)
not 8
 
0.8%
available 8
 
0.8%
51750679.7 7
 
0.7%
8955113.2 6
 
0.6%
10539580.4 6
 
0.6%
10487599.5 6
 
0.6%
10682211.9 5
 
0.5%
2238778.3 4
 
0.4%
4477556.6 4
 
0.4%
20664803.7 3
 
0.3%
Other values (943) 951
94.3%
2023-12-09T20:53:51.803247image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1161
12.2%
. 902
9.5%
7 864
9.1%
2 845
8.9%
9 841
8.9%
8 824
8.7%
6 816
8.6%
3 799
8.4%
5 798
8.4%
4 789
8.3%
Other values (12) 848
8.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8481
89.4%
Other Punctuation 902
 
9.5%
Lowercase Letter 80
 
0.8%
Uppercase Letter 16
 
0.2%
Space Separator 8
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1161
13.7%
7 864
10.2%
2 845
10.0%
9 841
9.9%
8 824
9.7%
6 816
9.6%
3 799
9.4%
5 798
9.4%
4 789
9.3%
0 744
8.8%
Lowercase Letter
ValueCountFrequency (%)
l 16
20.0%
a 16
20.0%
e 8
10.0%
o 8
10.0%
b 8
10.0%
i 8
10.0%
v 8
10.0%
t 8
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 8
50.0%
N 8
50.0%
Other Punctuation
ValueCountFrequency (%)
. 902
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9391
99.0%
Latin 96
 
1.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1161
12.4%
. 902
9.6%
7 864
9.2%
2 845
9.0%
9 841
9.0%
8 824
8.8%
6 816
8.7%
3 799
8.5%
5 798
8.5%
4 789
8.4%
Other values (2) 752
8.0%
Latin
ValueCountFrequency (%)
l 16
16.7%
a 16
16.7%
e 8
8.3%
o 8
8.3%
b 8
8.3%
i 8
8.3%
v 8
8.3%
A 8
8.3%
t 8
8.3%
N 8
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9487
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1161
12.2%
. 902
9.5%
7 864
9.1%
2 845
8.9%
9 841
8.9%
8 824
8.7%
6 816
8.6%
3 799
8.4%
5 798
8.4%
4 789
8.3%
Other values (12) 848
8.9%

fuel_oil_1_use_kbtu
Text

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:53:51.999281image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:53:52.304821image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct181
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Memory size67.6 KiB
2023-12-09T20:53:52.702822image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.112
Min length1

Characters and Unicode

Total characters12112
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique176 ?
Unique (%)17.6%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th row7137842.8
5th rowNot Available
ValueCountFrequency (%)
not 814
44.9%
available 814
44.9%
138000 4
 
0.2%
724569 2
 
0.1%
655500 2
 
0.1%
0 2
 
0.1%
3589724.9 1
 
0.1%
1308792 1
 
0.1%
10156247.8 1
 
0.1%
276179.4 1
 
0.1%
Other values (172) 172
 
9.5%
2023-12-09T20:53:53.238414image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1628
13.4%
l 1628
13.4%
N 814
 
6.7%
o 814
 
6.7%
t 814
 
6.7%
814
 
6.7%
A 814
 
6.7%
v 814
 
6.7%
i 814
 
6.7%
b 814
 
6.7%
Other values (12) 2344
19.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8140
67.2%
Uppercase Letter 1628
 
13.4%
Decimal Number 1395
 
11.5%
Space Separator 814
 
6.7%
Other Punctuation 135
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 172
12.3%
3 152
10.9%
2 147
10.5%
0 146
10.5%
9 145
10.4%
7 132
9.5%
4 132
9.5%
6 127
9.1%
5 123
8.8%
8 119
8.5%
Lowercase Letter
ValueCountFrequency (%)
a 1628
20.0%
l 1628
20.0%
o 814
10.0%
t 814
10.0%
v 814
10.0%
i 814
10.0%
b 814
10.0%
e 814
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 814
50.0%
A 814
50.0%
Space Separator
ValueCountFrequency (%)
814
100.0%
Other Punctuation
ValueCountFrequency (%)
. 135
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9768
80.6%
Common 2344
 
19.4%

Most frequent character per script

Common
ValueCountFrequency (%)
814
34.7%
1 172
 
7.3%
3 152
 
6.5%
2 147
 
6.3%
0 146
 
6.2%
9 145
 
6.2%
. 135
 
5.8%
7 132
 
5.6%
4 132
 
5.6%
6 127
 
5.4%
Other values (2) 242
 
10.3%
Latin
ValueCountFrequency (%)
a 1628
16.7%
l 1628
16.7%
N 814
8.3%
o 814
8.3%
t 814
8.3%
A 814
8.3%
v 814
8.3%
i 814
8.3%
b 814
8.3%
e 814
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12112
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1628
13.4%
l 1628
13.4%
N 814
 
6.7%
o 814
 
6.7%
t 814
 
6.7%
814
 
6.7%
A 814
 
6.7%
v 814
 
6.7%
i 814
 
6.7%
b 814
 
6.7%
Other values (12) 2344
19.4%
Distinct131
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Memory size67.9 KiB
2023-12-09T20:53:53.638619image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.421
Min length1

Characters and Unicode

Total characters12421
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique129 ?
Unique (%)12.9%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 868
46.5%
available 868
46.5%
0 3
 
0.2%
1537963.9 1
 
0.1%
4662364.2 1
 
0.1%
3360408.8 1
 
0.1%
3806657.6 1
 
0.1%
2263336 1
 
0.1%
6021623.8 1
 
0.1%
1164496 1
 
0.1%
Other values (122) 122
 
6.5%
2023-12-09T20:53:54.136436image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1736
14.0%
l 1736
14.0%
N 868
7.0%
o 868
7.0%
e 868
7.0%
i 868
7.0%
b 868
7.0%
v 868
7.0%
A 868
7.0%
868
7.0%
Other values (12) 2005
16.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8680
69.9%
Uppercase Letter 1736
 
14.0%
Decimal Number 1025
 
8.3%
Space Separator 868
 
7.0%
Other Punctuation 112
 
0.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 124
12.1%
2 116
11.3%
6 113
11.0%
3 110
10.7%
4 103
10.0%
8 100
9.8%
0 98
9.6%
5 97
9.5%
9 87
8.5%
7 77
7.5%
Lowercase Letter
ValueCountFrequency (%)
a 1736
20.0%
l 1736
20.0%
o 868
10.0%
e 868
10.0%
i 868
10.0%
b 868
10.0%
v 868
10.0%
t 868
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 868
50.0%
A 868
50.0%
Space Separator
ValueCountFrequency (%)
868
100.0%
Other Punctuation
ValueCountFrequency (%)
. 112
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10416
83.9%
Common 2005
 
16.1%

Most frequent character per script

Common
ValueCountFrequency (%)
868
43.3%
1 124
 
6.2%
2 116
 
5.8%
6 113
 
5.6%
. 112
 
5.6%
3 110
 
5.5%
4 103
 
5.1%
8 100
 
5.0%
0 98
 
4.9%
5 97
 
4.8%
Other values (2) 164
 
8.2%
Latin
ValueCountFrequency (%)
a 1736
16.7%
l 1736
16.7%
N 868
8.3%
o 868
8.3%
e 868
8.3%
i 868
8.3%
b 868
8.3%
v 868
8.3%
A 868
8.3%
t 868
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12421
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1736
14.0%
l 1736
14.0%
N 868
7.0%
o 868
7.0%
e 868
7.0%
i 868
7.0%
b 868
7.0%
v 868
7.0%
A 868
7.0%
868
7.0%
Other values (12) 2005
16.1%
Distinct30
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:53:54.404544image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.871
Min length6

Characters and Unicode

Total characters12871
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)2.9%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 971
49.3%
available 971
49.3%
3486595.6 1
 
0.1%
6849000.2 1
 
0.1%
2674050 1
 
0.1%
4847549.9 1
 
0.1%
5433899.9 1
 
0.1%
3763799.9 1
 
0.1%
3486149.8 1
 
0.1%
900030 1
 
0.1%
Other values (21) 21
 
1.1%
2023-12-09T20:53:54.830046image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1942
15.1%
l 1942
15.1%
N 971
7.5%
t 971
7.5%
971
7.5%
A 971
7.5%
v 971
7.5%
i 971
7.5%
b 971
7.5%
e 971
7.5%
Other values (12) 1219
9.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9710
75.4%
Uppercase Letter 1942
 
15.1%
Space Separator 971
 
7.5%
Decimal Number 225
 
1.7%
Other Punctuation 23
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 37
16.4%
9 32
14.2%
5 26
11.6%
4 24
10.7%
2 22
9.8%
8 20
8.9%
1 19
8.4%
6 17
7.6%
3 17
7.6%
7 11
 
4.9%
Lowercase Letter
ValueCountFrequency (%)
a 1942
20.0%
l 1942
20.0%
t 971
10.0%
v 971
10.0%
i 971
10.0%
b 971
10.0%
e 971
10.0%
o 971
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 971
50.0%
A 971
50.0%
Space Separator
ValueCountFrequency (%)
971
100.0%
Other Punctuation
ValueCountFrequency (%)
. 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11652
90.5%
Common 1219
 
9.5%

Most frequent character per script

Common
ValueCountFrequency (%)
971
79.7%
0 37
 
3.0%
9 32
 
2.6%
5 26
 
2.1%
4 24
 
2.0%
. 23
 
1.9%
2 22
 
1.8%
8 20
 
1.6%
1 19
 
1.6%
6 17
 
1.4%
Other values (2) 28
 
2.3%
Latin
ValueCountFrequency (%)
a 1942
16.7%
l 1942
16.7%
N 971
8.3%
t 971
8.3%
A 971
8.3%
v 971
8.3%
i 971
8.3%
b 971
8.3%
e 971
8.3%
o 971
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12871
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1942
15.1%
l 1942
15.1%
N 971
7.5%
t 971
7.5%
971
7.5%
A 971
7.5%
v 971
7.5%
i 971
7.5%
b 971
7.5%
e 971
7.5%
Other values (12) 1219
9.5%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:53:55.028840image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.99
Min length7

Characters and Unicode

Total characters12990
Distinct characters18
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
5016576 1
 
0.1%
7114604.5 1
 
0.1%
2023-12-09T20:53:55.357884image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
e 998
7.7%
o 998
7.7%
i 998
7.7%
b 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (8) 1014
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.8%
Uppercase Letter 1996
 
15.4%
Space Separator 998
 
7.7%
Decimal Number 15
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1996
20.0%
l 1996
20.0%
e 998
10.0%
o 998
10.0%
i 998
10.0%
b 998
10.0%
v 998
10.0%
t 998
10.0%
Decimal Number
ValueCountFrequency (%)
5 3
20.0%
1 3
20.0%
6 3
20.0%
0 2
13.3%
7 2
13.3%
4 2
13.3%
Uppercase Letter
ValueCountFrequency (%)
N 998
50.0%
A 998
50.0%
Space Separator
ValueCountFrequency (%)
998
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11976
92.2%
Common 1014
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1996
16.7%
l 1996
16.7%
N 998
8.3%
e 998
8.3%
o 998
8.3%
i 998
8.3%
b 998
8.3%
v 998
8.3%
A 998
8.3%
t 998
8.3%
Common
ValueCountFrequency (%)
998
98.4%
5 3
 
0.3%
1 3
 
0.3%
6 3
 
0.3%
0 2
 
0.2%
7 2
 
0.2%
4 2
 
0.2%
. 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12990
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
e 998
7.7%
o 998
7.7%
i 998
7.7%
b 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (8) 1014
7.8%

kerosene_use_kbtu
Text

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:53:55.538365image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:53:55.846495image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

propane_use_kbtu
Text

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:53:56.024186image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:53:56.331275image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct82
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T20:53:56.703106image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.708
Min length5

Characters and Unicode

Total characters12708
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique81 ?
Unique (%)8.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 919
47.9%
available 919
47.9%
140415651.2 1
 
0.1%
11281603160 1
 
0.1%
15757994.6 1
 
0.1%
8185920.5 1
 
0.1%
5134377.2 1
 
0.1%
11056929016 1
 
0.1%
336132939.4 1
 
0.1%
10448889.5 1
 
0.1%
Other values (73) 73
 
3.8%
2023-12-09T20:53:57.229242image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1838
14.5%
l 1838
14.5%
N 919
7.2%
o 919
7.2%
e 919
7.2%
i 919
7.2%
b 919
7.2%
v 919
7.2%
A 919
7.2%
919
7.2%
Other values (12) 1680
13.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9190
72.3%
Uppercase Letter 1838
 
14.5%
Space Separator 919
 
7.2%
Decimal Number 692
 
5.4%
Other Punctuation 69
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 93
13.4%
3 84
12.1%
2 84
12.1%
4 69
10.0%
9 67
9.7%
5 65
9.4%
7 59
8.5%
0 58
8.4%
8 57
8.2%
6 56
8.1%
Lowercase Letter
ValueCountFrequency (%)
a 1838
20.0%
l 1838
20.0%
o 919
10.0%
e 919
10.0%
i 919
10.0%
b 919
10.0%
v 919
10.0%
t 919
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 919
50.0%
A 919
50.0%
Space Separator
ValueCountFrequency (%)
919
100.0%
Other Punctuation
ValueCountFrequency (%)
. 69
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11028
86.8%
Common 1680
 
13.2%

Most frequent character per script

Common
ValueCountFrequency (%)
919
54.7%
1 93
 
5.5%
3 84
 
5.0%
2 84
 
5.0%
4 69
 
4.1%
. 69
 
4.1%
9 67
 
4.0%
5 65
 
3.9%
7 59
 
3.5%
0 58
 
3.5%
Other values (2) 113
 
6.7%
Latin
ValueCountFrequency (%)
a 1838
16.7%
l 1838
16.7%
N 919
8.3%
o 919
8.3%
e 919
8.3%
i 919
8.3%
b 919
8.3%
v 919
8.3%
A 919
8.3%
t 919
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12708
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1838
14.5%
l 1838
14.5%
N 919
7.2%
o 919
7.2%
e 919
7.2%
i 919
7.2%
b 919
7.2%
v 919
7.2%
A 919
7.2%
919
7.2%
Other values (12) 1680
13.2%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:53:57.425418image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:53:59.305133image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:53:59.480328image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:53:59.774727image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct842
Distinct (%)84.2%
Missing0
Missing (%)0.0%
Memory size64.7 KiB
2023-12-09T20:54:00.167611image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length11
Mean length9.074
Min length1

Characters and Unicode

Total characters9074
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique836 ?
Unique (%)83.6%

Sample

1st rowNot Available
2nd row211613.5
3rd row10453037.4
4th row84998405.7
5th row30795581.3
ValueCountFrequency (%)
not 149
 
13.0%
available 149
 
13.0%
36924697.2 7
 
0.6%
3981500.3 2
 
0.2%
3461299.8 2
 
0.2%
2743434.2 2
 
0.2%
4850400.3 2
 
0.2%
6984098.5 1
 
0.1%
8435726.7 1
 
0.1%
129600 1
 
0.1%
Other values (833) 833
72.5%
2023-12-09T20:54:00.690793image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 778
 
8.6%
1 705
 
7.8%
2 699
 
7.7%
9 679
 
7.5%
. 672
 
7.4%
3 658
 
7.3%
4 652
 
7.2%
5 606
 
6.7%
6 595
 
6.6%
8 556
 
6.1%
Other values (12) 2474
27.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6465
71.2%
Lowercase Letter 1490
 
16.4%
Other Punctuation 672
 
7.4%
Uppercase Letter 298
 
3.3%
Space Separator 149
 
1.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 778
12.0%
1 705
10.9%
2 699
10.8%
9 679
10.5%
3 658
10.2%
4 652
10.1%
5 606
9.4%
6 595
9.2%
8 556
8.6%
7 537
8.3%
Lowercase Letter
ValueCountFrequency (%)
a 298
20.0%
l 298
20.0%
i 149
10.0%
b 149
10.0%
e 149
10.0%
o 149
10.0%
v 149
10.0%
t 149
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 149
50.0%
N 149
50.0%
Other Punctuation
ValueCountFrequency (%)
. 672
100.0%
Space Separator
ValueCountFrequency (%)
149
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7286
80.3%
Latin 1788
 
19.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 778
10.7%
1 705
9.7%
2 699
9.6%
9 679
9.3%
. 672
9.2%
3 658
9.0%
4 652
8.9%
5 606
8.3%
6 595
8.2%
8 556
7.6%
Other values (2) 686
9.4%
Latin
ValueCountFrequency (%)
a 298
16.7%
l 298
16.7%
i 149
8.3%
b 149
8.3%
e 149
8.3%
o 149
8.3%
v 149
8.3%
A 149
8.3%
t 149
8.3%
N 149
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9074
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 778
 
8.6%
1 705
 
7.8%
2 699
 
7.7%
9 679
 
7.5%
. 672
 
7.4%
3 658
 
7.3%
4 652
 
7.2%
5 606
 
6.7%
6 595
 
6.6%
8 556
 
6.1%
Other values (12) 2474
27.3%
Distinct820
Distinct (%)82.0%
Missing0
Missing (%)0.0%
Memory size63.3 KiB
2023-12-09T20:54:01.101662image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length9
Mean length7.673
Min length1

Characters and Unicode

Total characters7673
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique817 ?
Unique (%)81.7%

Sample

1st rowNot Available
2nd rowNot Available
3rd row104230.5
4th row835875.4
5th row319339.6
ValueCountFrequency (%)
not 179
 
15.2%
available 179
 
15.2%
367317.5 2
 
0.2%
367243.7 2
 
0.2%
39497.2 1
 
0.1%
53536.4 1
 
0.1%
9279.6 1
 
0.1%
86898.7 1
 
0.1%
23354.1 1
 
0.1%
60555.9 1
 
0.1%
Other values (811) 811
68.8%
2023-12-09T20:54:01.647735image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 692
 
9.0%
3 548
 
7.1%
4 544
 
7.1%
2 528
 
6.9%
1 528
 
6.9%
5 483
 
6.3%
6 434
 
5.7%
7 430
 
5.6%
9 417
 
5.4%
8 415
 
5.4%
Other values (12) 2654
34.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4654
60.7%
Lowercase Letter 1790
 
23.3%
Other Punctuation 692
 
9.0%
Uppercase Letter 358
 
4.7%
Space Separator 179
 
2.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 548
11.8%
4 544
11.7%
2 528
11.3%
1 528
11.3%
5 483
10.4%
6 434
9.3%
7 430
9.2%
9 417
9.0%
8 415
8.9%
0 327
7.0%
Lowercase Letter
ValueCountFrequency (%)
a 358
20.0%
l 358
20.0%
o 179
10.0%
e 179
10.0%
b 179
10.0%
i 179
10.0%
v 179
10.0%
t 179
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 179
50.0%
N 179
50.0%
Other Punctuation
ValueCountFrequency (%)
. 692
100.0%
Space Separator
ValueCountFrequency (%)
179
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5525
72.0%
Latin 2148
 
28.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 692
12.5%
3 548
9.9%
4 544
9.8%
2 528
9.6%
1 528
9.6%
5 483
8.7%
6 434
7.9%
7 430
7.8%
9 417
7.5%
8 415
7.5%
Other values (2) 506
9.2%
Latin
ValueCountFrequency (%)
a 358
16.7%
l 358
16.7%
o 179
8.3%
e 179
8.3%
b 179
8.3%
i 179
8.3%
v 179
8.3%
A 179
8.3%
t 179
8.3%
N 179
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7673
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 692
 
9.0%
3 548
 
7.1%
4 544
 
7.1%
2 528
 
6.9%
1 528
 
6.9%
5 483
 
6.3%
6 434
 
5.7%
7 430
 
5.6%
9 417
 
5.4%
8 415
 
5.4%
Other values (12) 2654
34.6%
Distinct951
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size64.5 KiB
2023-12-09T20:54:02.017693image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length9
Mean length8.89
Min length6

Characters and Unicode

Total characters8890
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique949 ?
Unique (%)94.9%

Sample

1st rowNot Available
2nd row274316
3rd row16737360.9
4th row28900423.2
5th row10154818.8
ValueCountFrequency (%)
not 49
 
4.7%
available 49
 
4.7%
85267242.4 2
 
0.2%
1350415.2 1
 
0.1%
3216064.8 1
 
0.1%
980050.8 1
 
0.1%
7939678.7 1
 
0.1%
1376012.3 1
 
0.1%
991003.4 1
 
0.1%
1358739.1 1
 
0.1%
Other values (942) 942
89.8%
2023-12-09T20:54:02.528488image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1051
11.8%
. 863
9.7%
2 792
8.9%
4 758
8.5%
5 723
8.1%
6 717
8.1%
3 712
8.0%
9 697
7.8%
7 695
7.8%
8 663
7.5%
Other values (12) 1219
13.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7390
83.1%
Other Punctuation 863
 
9.7%
Lowercase Letter 490
 
5.5%
Uppercase Letter 98
 
1.1%
Space Separator 49
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1051
14.2%
2 792
10.7%
4 758
10.3%
5 723
9.8%
6 717
9.7%
3 712
9.6%
9 697
9.4%
7 695
9.4%
8 663
9.0%
0 582
7.9%
Lowercase Letter
ValueCountFrequency (%)
l 98
20.0%
a 98
20.0%
o 49
10.0%
e 49
10.0%
b 49
10.0%
i 49
10.0%
v 49
10.0%
t 49
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 49
50.0%
N 49
50.0%
Other Punctuation
ValueCountFrequency (%)
. 863
100.0%
Space Separator
ValueCountFrequency (%)
49
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8302
93.4%
Latin 588
 
6.6%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1051
12.7%
. 863
10.4%
2 792
9.5%
4 758
9.1%
5 723
8.7%
6 717
8.6%
3 712
8.6%
9 697
8.4%
7 695
8.4%
8 663
8.0%
Other values (2) 631
7.6%
Latin
ValueCountFrequency (%)
l 98
16.7%
a 98
16.7%
o 49
8.3%
e 49
8.3%
b 49
8.3%
i 49
8.3%
v 49
8.3%
A 49
8.3%
t 49
8.3%
N 49
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8890
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1051
11.8%
. 863
9.7%
2 792
8.9%
4 758
8.5%
5 723
8.1%
6 717
8.1%
3 712
8.0%
9 697
7.8%
7 695
7.8%
8 663
7.5%
Other values (12) 1219
13.7%
Distinct915
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Memory size64.0 KiB
2023-12-09T20:54:02.910294image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length12
Mean length8.423
Min length4

Characters and Unicode

Total characters8423
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique913 ?
Unique (%)91.3%

Sample

1st rowNot Available
2nd row77796
3rd row4862352.3
4th row8362169.4
5th row2868572.7
ValueCountFrequency (%)
not 85
 
7.8%
available 85
 
7.8%
24582616.9 2
 
0.2%
1024317.3 1
 
0.1%
6640555.8 1
 
0.1%
910796.5 1
 
0.1%
315760.3 1
 
0.1%
622459.2 1
 
0.1%
465902.4 1
 
0.1%
10798107.4 1
 
0.1%
Other values (906) 906
83.5%
2023-12-09T20:54:03.405785image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 870
10.3%
. 784
9.3%
3 758
9.0%
1 712
8.5%
4 692
8.2%
5 638
 
7.6%
9 613
 
7.3%
6 602
 
7.1%
8 589
 
7.0%
7 566
 
6.7%
Other values (12) 1599
19.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6534
77.6%
Lowercase Letter 850
 
10.1%
Other Punctuation 784
 
9.3%
Uppercase Letter 170
 
2.0%
Space Separator 85
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 870
13.3%
3 758
11.6%
1 712
10.9%
4 692
10.6%
5 638
9.8%
9 613
9.4%
6 602
9.2%
8 589
9.0%
7 566
8.7%
0 494
7.6%
Lowercase Letter
ValueCountFrequency (%)
l 170
20.0%
a 170
20.0%
e 85
10.0%
o 85
10.0%
b 85
10.0%
i 85
10.0%
v 85
10.0%
t 85
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 85
50.0%
N 85
50.0%
Other Punctuation
ValueCountFrequency (%)
. 784
100.0%
Space Separator
ValueCountFrequency (%)
85
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7403
87.9%
Latin 1020
 
12.1%

Most frequent character per script

Common
ValueCountFrequency (%)
2 870
11.8%
. 784
10.6%
3 758
10.2%
1 712
9.6%
4 692
9.3%
5 638
8.6%
9 613
8.3%
6 602
8.1%
8 589
8.0%
7 566
7.6%
Other values (2) 579
7.8%
Latin
ValueCountFrequency (%)
l 170
16.7%
a 170
16.7%
e 85
8.3%
o 85
8.3%
b 85
8.3%
i 85
8.3%
v 85
8.3%
A 85
8.3%
t 85
8.3%
N 85
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8423
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 870
10.3%
. 784
9.3%
3 758
9.0%
1 712
8.5%
4 692
8.2%
5 638
 
7.6%
9 613
 
7.3%
6 602
 
7.1%
8 589
 
7.0%
7 566
 
6.7%
Other values (12) 1599
19.0%
Distinct951
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size64.5 KiB
2023-12-09T20:54:03.768364image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length11
Mean length8.888
Min length6

Characters and Unicode

Total characters8888
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique949 ?
Unique (%)94.9%

Sample

1st rowNot Available
2nd row274316
3rd row16737361.3
4th row28900424.8
5th row10154818.3
ValueCountFrequency (%)
not 49
 
4.7%
available 49
 
4.7%
85267244.8 2
 
0.2%
3345841.3 1
 
0.1%
2106305.1 1
 
0.1%
22497.2 1
 
0.1%
1629793 1
 
0.1%
30590296.2 1
 
0.1%
10468834.9 1
 
0.1%
35130634.4 1
 
0.1%
Other values (942) 942
89.8%
2023-12-09T20:54:04.263787image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1071
12.0%
. 862
9.7%
2 780
8.8%
5 749
8.4%
4 723
8.1%
3 718
8.1%
7 703
7.9%
9 702
7.9%
6 700
7.9%
8 665
7.5%
Other values (12) 1215
13.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7389
83.1%
Other Punctuation 862
 
9.7%
Lowercase Letter 490
 
5.5%
Uppercase Letter 98
 
1.1%
Space Separator 49
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1071
14.5%
2 780
10.6%
5 749
10.1%
4 723
9.8%
3 718
9.7%
7 703
9.5%
9 702
9.5%
6 700
9.5%
8 665
9.0%
0 578
7.8%
Lowercase Letter
ValueCountFrequency (%)
l 98
20.0%
a 98
20.0%
e 49
10.0%
o 49
10.0%
b 49
10.0%
i 49
10.0%
v 49
10.0%
t 49
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 49
50.0%
N 49
50.0%
Other Punctuation
ValueCountFrequency (%)
. 862
100.0%
Space Separator
ValueCountFrequency (%)
49
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8300
93.4%
Latin 588
 
6.6%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1071
12.9%
. 862
10.4%
2 780
9.4%
5 749
9.0%
4 723
8.7%
3 718
8.7%
7 703
8.5%
9 702
8.5%
6 700
8.4%
8 665
8.0%
Other values (2) 627
7.6%
Latin
ValueCountFrequency (%)
l 98
16.7%
a 98
16.7%
e 49
8.3%
o 49
8.3%
b 49
8.3%
i 49
8.3%
v 49
8.3%
A 49
8.3%
t 49
8.3%
N 49
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8888
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1071
12.0%
. 862
9.7%
2 780
8.8%
5 749
8.4%
4 723
8.1%
3 718
8.1%
7 703
7.9%
9 702
7.9%
6 700
7.9%
8 665
7.5%
Other values (12) 1215
13.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:54:04.444952image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:54:04.717639image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:54:04.882089image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:54:05.159223image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:54:05.329261image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:54:05.604488image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

green_power_onsite_kwh
Text

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:54:05.768715image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:54:06.045147image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size57.3 KiB
2023-12-09T20:54:06.162647image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length1
Mean length1.594
Min length1

Characters and Unicode

Total characters1594
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0 950
90.6%
not 49
 
4.7%
available 49
 
4.7%
2180903 1
 
0.1%
2023-12-09T20:54:06.397214image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 952
59.7%
a 98
 
6.1%
l 98
 
6.1%
e 49
 
3.1%
b 49
 
3.1%
N 49
 
3.1%
i 49
 
3.1%
v 49
 
3.1%
A 49
 
3.1%
49
 
3.1%
Other values (7) 103
 
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 957
60.0%
Lowercase Letter 490
30.7%
Uppercase Letter 98
 
6.1%
Space Separator 49
 
3.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 98
20.0%
l 98
20.0%
e 49
10.0%
b 49
10.0%
i 49
10.0%
v 49
10.0%
t 49
10.0%
o 49
10.0%
Decimal Number
ValueCountFrequency (%)
0 952
99.5%
2 1
 
0.1%
1 1
 
0.1%
8 1
 
0.1%
9 1
 
0.1%
3 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
N 49
50.0%
A 49
50.0%
Space Separator
ValueCountFrequency (%)
49
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1006
63.1%
Latin 588
36.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 98
16.7%
l 98
16.7%
e 49
8.3%
b 49
8.3%
N 49
8.3%
i 49
8.3%
v 49
8.3%
A 49
8.3%
t 49
8.3%
o 49
8.3%
Common
ValueCountFrequency (%)
0 952
94.6%
49
 
4.9%
2 1
 
0.1%
1 1
 
0.1%
8 1
 
0.1%
9 1
 
0.1%
3 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1594
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 952
59.7%
a 98
 
6.1%
l 98
 
6.1%
e 49
 
3.1%
b 49
 
3.1%
N 49
 
3.1%
i 49
 
3.1%
v 49
 
3.1%
A 49
 
3.1%
49
 
3.1%
Other values (7) 103
 
6.5%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:54:06.564703image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:54:06.844906image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size57.3 KiB
2023-12-09T20:54:06.962543image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length1
Mean length1.58
Min length1

Characters and Unicode

Total characters1580
Distinct characters16
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0 951
90.7%
not 48
 
4.6%
available 48
 
4.6%
803.7 1
 
0.1%
2023-12-09T20:54:07.195020image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 952
60.3%
a 96
 
6.1%
l 96
 
6.1%
N 48
 
3.0%
o 48
 
3.0%
t 48
 
3.0%
48
 
3.0%
A 48
 
3.0%
v 48
 
3.0%
i 48
 
3.0%
Other values (6) 100
 
6.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 955
60.4%
Lowercase Letter 480
30.4%
Uppercase Letter 96
 
6.1%
Space Separator 48
 
3.0%
Other Punctuation 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 96
20.0%
l 96
20.0%
o 48
10.0%
t 48
10.0%
v 48
10.0%
i 48
10.0%
b 48
10.0%
e 48
10.0%
Decimal Number
ValueCountFrequency (%)
0 952
99.7%
8 1
 
0.1%
3 1
 
0.1%
7 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
N 48
50.0%
A 48
50.0%
Space Separator
ValueCountFrequency (%)
48
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1004
63.5%
Latin 576
36.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 96
16.7%
l 96
16.7%
N 48
8.3%
o 48
8.3%
t 48
8.3%
A 48
8.3%
v 48
8.3%
i 48
8.3%
b 48
8.3%
e 48
8.3%
Common
ValueCountFrequency (%)
0 952
94.8%
48
 
4.8%
8 1
 
0.1%
3 1
 
0.1%
. 1
 
0.1%
7 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1580
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 952
60.3%
a 96
 
6.1%
l 96
 
6.1%
N 48
 
3.0%
o 48
 
3.0%
t 48
 
3.0%
48
 
3.0%
A 48
 
3.0%
v 48
 
3.0%
i 48
 
3.0%
Other values (6) 100
 
6.3%
Distinct934
Distinct (%)93.4%
Missing0
Missing (%)0.0%
Memory size60.8 KiB
2023-12-09T20:54:07.667298image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length5
Mean length5.128
Min length1

Characters and Unicode

Total characters5128
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique885 ?
Unique (%)88.5%

Sample

1st rowNot Available
2nd row34
3rd row1943.3
4th row7441.2
5th row2477.9
ValueCountFrequency (%)
not 15
 
1.5%
available 15
 
1.5%
0 5
 
0.5%
411.7 3
 
0.3%
383 2
 
0.2%
871.3 2
 
0.2%
380.8 2
 
0.2%
459.3 2
 
0.2%
401.2 2
 
0.2%
377.2 2
 
0.2%
Other values (925) 965
95.1%
2023-12-09T20:54:08.284363image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 898
17.5%
3 554
10.8%
2 484
9.4%
4 460
9.0%
1 458
8.9%
5 403
7.9%
6 390
7.6%
7 376
7.3%
8 348
 
6.8%
9 331
 
6.5%
Other values (12) 426
8.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4035
78.7%
Other Punctuation 898
 
17.5%
Lowercase Letter 150
 
2.9%
Uppercase Letter 30
 
0.6%
Space Separator 15
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 554
13.7%
2 484
12.0%
4 460
11.4%
1 458
11.4%
5 403
10.0%
6 390
9.7%
7 376
9.3%
8 348
8.6%
9 331
8.2%
0 231
5.7%
Lowercase Letter
ValueCountFrequency (%)
l 30
20.0%
a 30
20.0%
o 15
10.0%
e 15
10.0%
b 15
10.0%
i 15
10.0%
v 15
10.0%
t 15
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 15
50.0%
N 15
50.0%
Other Punctuation
ValueCountFrequency (%)
. 898
100.0%
Space Separator
ValueCountFrequency (%)
15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4948
96.5%
Latin 180
 
3.5%

Most frequent character per script

Common
ValueCountFrequency (%)
. 898
18.1%
3 554
11.2%
2 484
9.8%
4 460
9.3%
1 458
9.3%
5 403
8.1%
6 390
7.9%
7 376
7.6%
8 348
 
7.0%
9 331
 
6.7%
Other values (2) 246
 
5.0%
Latin
ValueCountFrequency (%)
l 30
16.7%
a 30
16.7%
o 15
8.3%
e 15
8.3%
b 15
8.3%
i 15
8.3%
v 15
8.3%
A 15
8.3%
t 15
8.3%
N 15
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5128
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 898
17.5%
3 554
10.8%
2 484
9.4%
4 460
9.0%
1 458
8.9%
5 403
7.9%
6 390
7.6%
7 376
7.3%
8 348
 
6.8%
9 331
 
6.5%
Other values (12) 426
8.3%
Distinct838
Distinct (%)83.8%
Missing0
Missing (%)0.0%
Memory size60.3 KiB
2023-12-09T20:54:08.772465image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length5
Mean length4.572
Min length1

Characters and Unicode

Total characters4572
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique776 ?
Unique (%)77.6%

Sample

1st rowNot Available
2nd row11.2
3rd row555.2
4th row5044.4
5th row1635.7
ValueCountFrequency (%)
0 77
 
7.6%
available 15
 
1.5%
not 15
 
1.5%
1961.2 7
 
0.7%
199.5 4
 
0.4%
361.7 3
 
0.3%
340.6 3
 
0.3%
183.8 3
 
0.3%
2.3 3
 
0.3%
328.1 3
 
0.3%
Other values (829) 882
86.9%
2023-12-09T20:54:09.389885image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 811
17.7%
1 524
11.5%
2 520
11.4%
3 425
9.3%
4 358
7.8%
5 327
7.2%
8 300
 
6.6%
6 287
 
6.3%
7 278
 
6.1%
9 278
 
6.1%
Other values (12) 464
10.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3566
78.0%
Other Punctuation 811
 
17.7%
Lowercase Letter 150
 
3.3%
Uppercase Letter 30
 
0.7%
Space Separator 15
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 524
14.7%
2 520
14.6%
3 425
11.9%
4 358
10.0%
5 327
9.2%
8 300
8.4%
6 287
8.0%
7 278
7.8%
9 278
7.8%
0 269
7.5%
Lowercase Letter
ValueCountFrequency (%)
l 30
20.0%
a 30
20.0%
b 15
10.0%
i 15
10.0%
v 15
10.0%
t 15
10.0%
o 15
10.0%
e 15
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 15
50.0%
A 15
50.0%
Other Punctuation
ValueCountFrequency (%)
. 811
100.0%
Space Separator
ValueCountFrequency (%)
15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4392
96.1%
Latin 180
 
3.9%

Most frequent character per script

Common
ValueCountFrequency (%)
. 811
18.5%
1 524
11.9%
2 520
11.8%
3 425
9.7%
4 358
8.2%
5 327
7.4%
8 300
 
6.8%
6 287
 
6.5%
7 278
 
6.3%
9 278
 
6.3%
Other values (2) 284
 
6.5%
Latin
ValueCountFrequency (%)
l 30
16.7%
a 30
16.7%
N 15
8.3%
b 15
8.3%
i 15
8.3%
v 15
8.3%
A 15
8.3%
t 15
8.3%
o 15
8.3%
e 15
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4572
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 811
17.7%
1 524
11.5%
2 520
11.4%
3 425
9.3%
4 358
7.8%
5 327
7.2%
8 300
 
6.6%
6 287
 
6.3%
7 278
 
6.1%
9 278
 
6.1%
Other values (12) 464
10.1%
Distinct853
Distinct (%)85.3%
Missing0
Missing (%)0.0%
Memory size60.2 KiB
2023-12-09T20:54:09.863975image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length8
Mean length4.54
Min length1

Characters and Unicode

Total characters4540
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique758 ?
Unique (%)75.8%

Sample

1st rowNot Available
2nd row22.8
3rd row1388.1
4th row2396.8
5th row842.2
ValueCountFrequency (%)
0 39
 
3.9%
available 10
 
1.0%
not 10
 
1.0%
66.6 3
 
0.3%
15.9 3
 
0.3%
94.2 3
 
0.3%
87.1 3
 
0.3%
19.8 3
 
0.3%
69.1 3
 
0.3%
95 3
 
0.3%
Other values (844) 930
92.1%
2023-12-09T20:54:10.462103image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 871
19.2%
1 585
12.9%
2 397
8.7%
6 362
8.0%
4 347
 
7.6%
5 331
 
7.3%
7 326
 
7.2%
3 318
 
7.0%
9 318
 
7.0%
8 305
 
6.7%
Other values (12) 380
8.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3539
78.0%
Other Punctuation 871
 
19.2%
Lowercase Letter 100
 
2.2%
Uppercase Letter 20
 
0.4%
Space Separator 10
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 585
16.5%
2 397
11.2%
6 362
10.2%
4 347
9.8%
5 331
9.4%
7 326
9.2%
3 318
9.0%
9 318
9.0%
8 305
8.6%
0 250
7.1%
Lowercase Letter
ValueCountFrequency (%)
l 20
20.0%
a 20
20.0%
b 10
10.0%
i 10
10.0%
v 10
10.0%
t 10
10.0%
o 10
10.0%
e 10
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 10
50.0%
A 10
50.0%
Other Punctuation
ValueCountFrequency (%)
. 871
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4420
97.4%
Latin 120
 
2.6%

Most frequent character per script

Common
ValueCountFrequency (%)
. 871
19.7%
1 585
13.2%
2 397
9.0%
6 362
8.2%
4 347
 
7.9%
5 331
 
7.5%
7 326
 
7.4%
3 318
 
7.2%
9 318
 
7.2%
8 305
 
6.9%
Other values (2) 260
 
5.9%
Latin
ValueCountFrequency (%)
l 20
16.7%
a 20
16.7%
N 10
8.3%
b 10
8.3%
i 10
8.3%
v 10
8.3%
A 10
8.3%
t 10
8.3%
o 10
8.3%
e 10
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4540
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 871
19.2%
1 585
12.9%
2 397
8.7%
6 362
8.0%
4 347
 
7.6%
5 331
 
7.3%
7 326
 
7.2%
3 318
 
7.0%
9 318
 
7.0%
8 305
 
6.7%
Other values (12) 380
8.4%
Distinct921
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Memory size60.7 KiB
2023-12-09T20:54:10.961567image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length5
Mean length5.071
Min length1

Characters and Unicode

Total characters5071
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique867 ?
Unique (%)86.7%

Sample

1st row722.9
2nd row118.5
3rd row1403.4
4th row5386.2
5th row2094.2
ValueCountFrequency (%)
not 8
 
0.8%
available 8
 
0.8%
770.6 6
 
0.6%
270.8 6
 
0.6%
774.4 5
 
0.5%
135.4 4
 
0.4%
784.9 3
 
0.3%
113.2 3
 
0.3%
378.5 3
 
0.3%
480.8 3
 
0.3%
Other values (912) 959
95.1%
2023-12-09T20:54:11.574319image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 896
17.7%
3 532
10.5%
4 513
10.1%
2 463
9.1%
1 437
8.6%
5 403
7.9%
7 391
7.7%
6 374
7.4%
8 353
 
7.0%
9 339
 
6.7%
Other values (12) 370
7.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4071
80.3%
Other Punctuation 896
 
17.7%
Lowercase Letter 80
 
1.6%
Uppercase Letter 16
 
0.3%
Space Separator 8
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 532
13.1%
4 513
12.6%
2 463
11.4%
1 437
10.7%
5 403
9.9%
7 391
9.6%
6 374
9.2%
8 353
8.7%
9 339
8.3%
0 266
6.5%
Lowercase Letter
ValueCountFrequency (%)
l 16
20.0%
a 16
20.0%
e 8
10.0%
o 8
10.0%
b 8
10.0%
i 8
10.0%
v 8
10.0%
t 8
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 8
50.0%
N 8
50.0%
Other Punctuation
ValueCountFrequency (%)
. 896
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4975
98.1%
Latin 96
 
1.9%

Most frequent character per script

Common
ValueCountFrequency (%)
. 896
18.0%
3 532
10.7%
4 513
10.3%
2 463
9.3%
1 437
8.8%
5 403
8.1%
7 391
7.9%
6 374
7.5%
8 353
 
7.1%
9 339
 
6.8%
Other values (2) 274
 
5.5%
Latin
ValueCountFrequency (%)
l 16
16.7%
a 16
16.7%
e 8
8.3%
o 8
8.3%
b 8
8.3%
i 8
8.3%
v 8
8.3%
A 8
8.3%
t 8
8.3%
N 8
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5071
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 896
17.7%
3 532
10.5%
4 513
10.1%
2 463
9.1%
1 437
8.6%
5 403
7.9%
7 391
7.7%
6 374
7.4%
8 353
 
7.0%
9 339
 
6.7%
Other values (12) 370
7.3%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size58.2 KiB
2023-12-09T20:54:11.710647image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length2
Mean length2.444
Min length2

Characters and Unicode

Total characters2444
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo
ValueCountFrequency (%)
no 936
90.2%
not 38
 
3.7%
available 38
 
3.7%
yes 26
 
2.5%
2023-12-09T20:54:11.945210image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 974
39.9%
o 974
39.9%
a 76
 
3.1%
l 76
 
3.1%
e 64
 
2.6%
t 38
 
1.6%
38
 
1.6%
A 38
 
1.6%
v 38
 
1.6%
i 38
 
1.6%
Other values (3) 90
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1368
56.0%
Uppercase Letter 1038
42.5%
Space Separator 38
 
1.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 974
71.2%
a 76
 
5.6%
l 76
 
5.6%
e 64
 
4.7%
t 38
 
2.8%
v 38
 
2.8%
i 38
 
2.8%
b 38
 
2.8%
s 26
 
1.9%
Uppercase Letter
ValueCountFrequency (%)
N 974
93.8%
A 38
 
3.7%
Y 26
 
2.5%
Space Separator
ValueCountFrequency (%)
38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2406
98.4%
Common 38
 
1.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 974
40.5%
o 974
40.5%
a 76
 
3.2%
l 76
 
3.2%
e 64
 
2.7%
t 38
 
1.6%
A 38
 
1.6%
v 38
 
1.6%
i 38
 
1.6%
b 38
 
1.6%
Other values (2) 52
 
2.2%
Common
ValueCountFrequency (%)
38
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2444
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 974
39.9%
o 974
39.9%
a 76
 
3.1%
l 76
 
3.1%
e 64
 
2.6%
t 38
 
1.6%
38
 
1.6%
A 38
 
1.6%
v 38
 
1.6%
i 38
 
1.6%
Other values (3) 90
 
3.7%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size59.1 KiB
2023-12-09T20:54:12.071014image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length2
Mean length3.354
Min length2

Characters and Unicode

Total characters3354
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo
ValueCountFrequency (%)
no 856
76.4%
not 121
 
10.8%
available 121
 
10.8%
yes 23
 
2.1%
2023-12-09T20:54:12.319113image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 977
29.1%
o 977
29.1%
a 242
 
7.2%
l 242
 
7.2%
e 144
 
4.3%
t 121
 
3.6%
121
 
3.6%
A 121
 
3.6%
v 121
 
3.6%
i 121
 
3.6%
Other values (3) 167
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2112
63.0%
Uppercase Letter 1121
33.4%
Space Separator 121
 
3.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 977
46.3%
a 242
 
11.5%
l 242
 
11.5%
e 144
 
6.8%
t 121
 
5.7%
v 121
 
5.7%
i 121
 
5.7%
b 121
 
5.7%
s 23
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
N 977
87.2%
A 121
 
10.8%
Y 23
 
2.1%
Space Separator
ValueCountFrequency (%)
121
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3233
96.4%
Common 121
 
3.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 977
30.2%
o 977
30.2%
a 242
 
7.5%
l 242
 
7.5%
e 144
 
4.5%
t 121
 
3.7%
A 121
 
3.7%
v 121
 
3.7%
i 121
 
3.7%
b 121
 
3.7%
Other values (2) 46
 
1.4%
Common
ValueCountFrequency (%)
121
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3354
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 977
29.1%
o 977
29.1%
a 242
 
7.2%
l 242
 
7.2%
e 144
 
4.3%
t 121
 
3.6%
121
 
3.6%
A 121
 
3.6%
v 121
 
3.6%
i 121
 
3.6%
Other values (3) 167
 
5.0%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size65.9 KiB
2023-12-09T20:54:12.492944image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length10.35
Min length2

Characters and Unicode

Total characters10350
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNo
5th rowNot Available
ValueCountFrequency (%)
not 759
43.1%
available 759
43.1%
no 240
 
13.6%
yes 1
 
0.1%
2023-12-09T20:54:12.786763image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1518
14.7%
l 1518
14.7%
N 999
9.7%
o 999
9.7%
e 760
7.3%
t 759
7.3%
759
7.3%
A 759
7.3%
v 759
7.3%
i 759
7.3%
Other values (3) 761
7.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7832
75.7%
Uppercase Letter 1759
 
17.0%
Space Separator 759
 
7.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1518
19.4%
l 1518
19.4%
o 999
12.8%
e 760
9.7%
t 759
9.7%
v 759
9.7%
i 759
9.7%
b 759
9.7%
s 1
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
N 999
56.8%
A 759
43.1%
Y 1
 
0.1%
Space Separator
ValueCountFrequency (%)
759
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9591
92.7%
Common 759
 
7.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1518
15.8%
l 1518
15.8%
N 999
10.4%
o 999
10.4%
e 760
7.9%
t 759
7.9%
A 759
7.9%
v 759
7.9%
i 759
7.9%
b 759
7.9%
Other values (2) 2
 
< 0.1%
Common
ValueCountFrequency (%)
759
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10350
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1518
14.7%
l 1518
14.7%
N 999
9.7%
o 999
9.7%
e 760
7.3%
t 759
7.3%
759
7.3%
A 759
7.3%
v 759
7.3%
i 759
7.3%
Other values (3) 761
7.4%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size66.8 KiB
2023-12-09T20:54:12.955650image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.252
Min length2

Characters and Unicode

Total characters11252
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 841
45.7%
available 841
45.7%
no 158
 
8.6%
yes 1
 
0.1%
2023-12-09T20:54:13.245581image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1682
14.9%
l 1682
14.9%
N 999
8.9%
o 999
8.9%
e 842
7.5%
t 841
7.5%
841
7.5%
A 841
7.5%
v 841
7.5%
i 841
7.5%
Other values (3) 843
7.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8570
76.2%
Uppercase Letter 1841
 
16.4%
Space Separator 841
 
7.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1682
19.6%
l 1682
19.6%
o 999
11.7%
e 842
9.8%
t 841
9.8%
v 841
9.8%
i 841
9.8%
b 841
9.8%
s 1
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
N 999
54.3%
A 841
45.7%
Y 1
 
0.1%
Space Separator
ValueCountFrequency (%)
841
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10411
92.5%
Common 841
 
7.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1682
16.2%
l 1682
16.2%
N 999
9.6%
o 999
9.6%
e 842
8.1%
t 841
8.1%
A 841
8.1%
v 841
8.1%
i 841
8.1%
b 841
8.1%
Other values (2) 2
 
< 0.1%
Common
ValueCountFrequency (%)
841
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11252
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1682
14.9%
l 1682
14.9%
N 999
8.9%
o 999
8.9%
e 842
7.5%
t 841
7.5%
841
7.5%
A 841
7.5%
v 841
7.5%
i 841
7.5%
Other values (3) 843
7.5%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size67.5 KiB
2023-12-09T20:54:13.415724image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.999
Min length2

Characters and Unicode

Total characters11999
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 909
47.6%
available 909
47.6%
no 91
 
4.8%
2023-12-09T20:54:13.691335image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1818
15.2%
l 1818
15.2%
N 1000
8.3%
o 1000
8.3%
t 909
7.6%
909
7.6%
A 909
7.6%
v 909
7.6%
i 909
7.6%
b 909
7.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9181
76.5%
Uppercase Letter 1909
 
15.9%
Space Separator 909
 
7.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1818
19.8%
l 1818
19.8%
o 1000
10.9%
t 909
9.9%
v 909
9.9%
i 909
9.9%
b 909
9.9%
e 909
9.9%
Uppercase Letter
ValueCountFrequency (%)
N 1000
52.4%
A 909
47.6%
Space Separator
ValueCountFrequency (%)
909
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11090
92.4%
Common 909
 
7.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1818
16.4%
l 1818
16.4%
N 1000
9.0%
o 1000
9.0%
t 909
8.2%
A 909
8.2%
v 909
8.2%
i 909
8.2%
b 909
8.2%
e 909
8.2%
Common
ValueCountFrequency (%)
909
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11999
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1818
15.2%
l 1818
15.2%
N 1000
8.3%
o 1000
8.3%
t 909
7.6%
909
7.6%
A 909
7.6%
v 909
7.6%
i 909
7.6%
b 909
7.6%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size67.6 KiB
2023-12-09T20:54:13.859450image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.09
Min length2

Characters and Unicode

Total characters12090
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 917
47.8%
available 917
47.8%
no 80
 
4.2%
yes 3
 
0.2%
2023-12-09T20:54:14.141390image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1834
15.2%
l 1834
15.2%
N 997
8.2%
o 997
8.2%
e 920
7.6%
t 917
7.6%
917
7.6%
A 917
7.6%
v 917
7.6%
i 917
7.6%
Other values (3) 923
7.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9256
76.6%
Uppercase Letter 1917
 
15.9%
Space Separator 917
 
7.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1834
19.8%
l 1834
19.8%
o 997
10.8%
e 920
9.9%
t 917
9.9%
v 917
9.9%
i 917
9.9%
b 917
9.9%
s 3
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
N 997
52.0%
A 917
47.8%
Y 3
 
0.2%
Space Separator
ValueCountFrequency (%)
917
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11173
92.4%
Common 917
 
7.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1834
16.4%
l 1834
16.4%
N 997
8.9%
o 997
8.9%
e 920
8.2%
t 917
8.2%
A 917
8.2%
v 917
8.2%
i 917
8.2%
b 917
8.2%
Other values (2) 6
 
0.1%
Common
ValueCountFrequency (%)
917
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12090
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1834
15.2%
l 1834
15.2%
N 997
8.2%
o 997
8.2%
e 920
7.6%
t 917
7.6%
917
7.6%
A 917
7.6%
v 917
7.6%
i 917
7.6%
Other values (3) 923
7.6%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size59.7 KiB
2023-12-09T20:54:14.278302image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length4
Mean length4.019
Min length4

Characters and Unicode

Total characters4019
Distinct characters18
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row82.9
2nd row82.9
3rd row82.9
4th row82.9
5th row82.9
ValueCountFrequency (%)
82.9 997
99.5%
not 2
 
0.2%
available 2
 
0.2%
178.3 1
 
0.1%
2023-12-09T20:54:14.527789image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 998
24.8%
. 998
24.8%
2 997
24.8%
9 997
24.8%
l 4
 
0.1%
a 4
 
0.1%
e 2
 
< 0.1%
b 2
 
< 0.1%
i 2
 
< 0.1%
v 2
 
< 0.1%
Other values (8) 13
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2995
74.5%
Other Punctuation 998
 
24.8%
Lowercase Letter 20
 
0.5%
Uppercase Letter 4
 
0.1%
Space Separator 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 4
20.0%
a 4
20.0%
e 2
10.0%
b 2
10.0%
i 2
10.0%
v 2
10.0%
t 2
10.0%
o 2
10.0%
Decimal Number
ValueCountFrequency (%)
8 998
33.3%
2 997
33.3%
9 997
33.3%
1 1
 
< 0.1%
7 1
 
< 0.1%
3 1
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
A 2
50.0%
N 2
50.0%
Other Punctuation
ValueCountFrequency (%)
. 998
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3995
99.4%
Latin 24
 
0.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 4
16.7%
a 4
16.7%
e 2
8.3%
b 2
8.3%
i 2
8.3%
v 2
8.3%
A 2
8.3%
t 2
8.3%
o 2
8.3%
N 2
8.3%
Common
ValueCountFrequency (%)
8 998
25.0%
. 998
25.0%
2 997
25.0%
9 997
25.0%
2
 
0.1%
1 1
 
< 0.1%
7 1
 
< 0.1%
3 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4019
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 998
24.8%
. 998
24.8%
2 997
24.8%
9 997
24.8%
l 4
 
0.1%
a 4
 
0.1%
e 2
 
< 0.1%
b 2
 
< 0.1%
i 2
 
< 0.1%
v 2
 
< 0.1%
Other values (8) 13
 
0.3%
Distinct934
Distinct (%)93.4%
Missing0
Missing (%)0.0%
Memory size60.7 KiB
2023-12-09T20:54:14.981771image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length5
Mean length5.053
Min length1

Characters and Unicode

Total characters5053
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique885 ?
Unique (%)88.5%

Sample

1st rowNot Available
2nd row34
3rd row1943.3
4th row7441.2
5th row2477.9
ValueCountFrequency (%)
0 11
 
1.1%
available 9
 
0.9%
not 9
 
0.9%
411.7 3
 
0.3%
335.3 2
 
0.2%
370.7 2
 
0.2%
367.4 2
 
0.2%
313 2
 
0.2%
7071.6 2
 
0.2%
463.4 2
 
0.2%
Other values (925) 965
95.6%
2023-12-09T20:54:15.603261image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 897
17.8%
3 554
11.0%
2 484
9.6%
4 461
9.1%
1 458
9.1%
5 403
8.0%
6 390
7.7%
7 374
7.4%
8 347
 
6.9%
9 331
 
6.6%
Other values (12) 354
 
7.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4039
79.9%
Other Punctuation 897
 
17.8%
Lowercase Letter 90
 
1.8%
Uppercase Letter 18
 
0.4%
Space Separator 9
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 554
13.7%
2 484
12.0%
4 461
11.4%
1 458
11.3%
5 403
10.0%
6 390
9.7%
7 374
9.3%
8 347
8.6%
9 331
8.2%
0 237
5.9%
Lowercase Letter
ValueCountFrequency (%)
l 18
20.0%
a 18
20.0%
b 9
10.0%
i 9
10.0%
v 9
10.0%
t 9
10.0%
o 9
10.0%
e 9
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 9
50.0%
A 9
50.0%
Other Punctuation
ValueCountFrequency (%)
. 897
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4945
97.9%
Latin 108
 
2.1%

Most frequent character per script

Common
ValueCountFrequency (%)
. 897
18.1%
3 554
11.2%
2 484
9.8%
4 461
9.3%
1 458
9.3%
5 403
8.1%
6 390
7.9%
7 374
7.6%
8 347
 
7.0%
9 331
 
6.7%
Other values (2) 246
 
5.0%
Latin
ValueCountFrequency (%)
l 18
16.7%
a 18
16.7%
N 9
8.3%
b 9
8.3%
i 9
8.3%
v 9
8.3%
A 9
8.3%
t 9
8.3%
o 9
8.3%
e 9
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5053
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 897
17.8%
3 554
11.0%
2 484
9.6%
4 461
9.1%
1 458
9.1%
5 403
8.0%
6 390
7.7%
7 374
7.4%
8 347
 
6.9%
9 331
 
6.6%
Other values (12) 354
 
7.0%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size57.3 KiB
2023-12-09T20:54:15.738081image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length1
Mean length1.595
Min length1

Characters and Unicode

Total characters1595
Distinct characters18
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd row0
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0 950
90.6%
not 49
 
4.7%
available 49
 
4.7%
93.57344 1
 
0.1%
2023-12-09T20:54:15.968316image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 950
59.6%
a 98
 
6.1%
l 98
 
6.1%
t 49
 
3.1%
49
 
3.1%
A 49
 
3.1%
v 49
 
3.1%
o 49
 
3.1%
i 49
 
3.1%
N 49
 
3.1%
Other values (8) 106
 
6.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 957
60.0%
Lowercase Letter 490
30.7%
Uppercase Letter 98
 
6.1%
Space Separator 49
 
3.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 98
20.0%
l 98
20.0%
t 49
10.0%
v 49
10.0%
o 49
10.0%
i 49
10.0%
b 49
10.0%
e 49
10.0%
Decimal Number
ValueCountFrequency (%)
0 950
99.3%
3 2
 
0.2%
4 2
 
0.2%
9 1
 
0.1%
5 1
 
0.1%
7 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
A 49
50.0%
N 49
50.0%
Space Separator
ValueCountFrequency (%)
49
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1007
63.1%
Latin 588
36.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 98
16.7%
l 98
16.7%
t 49
8.3%
A 49
8.3%
v 49
8.3%
o 49
8.3%
i 49
8.3%
N 49
8.3%
b 49
8.3%
e 49
8.3%
Common
ValueCountFrequency (%)
0 950
94.3%
49
 
4.9%
3 2
 
0.2%
4 2
 
0.2%
9 1
 
0.1%
. 1
 
0.1%
5 1
 
0.1%
7 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1595
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 950
59.6%
a 98
 
6.1%
l 98
 
6.1%
t 49
 
3.1%
49
 
3.1%
A 49
 
3.1%
v 49
 
3.1%
o 49
 
3.1%
i 49
 
3.1%
N 49
 
3.1%
Other values (8) 106
 
6.6%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:54:16.134596image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:54:16.410892image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:54:16.577615image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:54:16.853331image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:54:17.019917image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:54:17.298569image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

costar_property_id
Text

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:54:17.465068image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:54:17.741589image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:54:17.916726image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length15
Median length13
Mean length12.996
Min length10

Characters and Unicode

Total characters12996
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
1000022898 1
 
0.1%
1000003768 1
 
0.1%
745440494141505 1
 
0.1%
2023-12-09T20:54:18.213747image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.3%
l 1994
15.3%
N 997
7.7%
o 997
7.7%
b 997
7.7%
i 997
7.7%
e 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (11) 1032
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.7%
Uppercase Letter 1994
 
15.3%
Space Separator 997
 
7.7%
Decimal Number 35
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11
31.4%
4 6
17.1%
1 4
 
11.4%
8 3
 
8.6%
5 3
 
8.6%
2 2
 
5.7%
9 2
 
5.7%
7 2
 
5.7%
3 1
 
2.9%
6 1
 
2.9%
Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
o 997
10.0%
b 997
10.0%
i 997
10.0%
e 997
10.0%
v 997
10.0%
t 997
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.1%
Common 1032
 
7.9%

Most frequent character per script

Common
ValueCountFrequency (%)
997
96.6%
0 11
 
1.1%
4 6
 
0.6%
1 4
 
0.4%
8 3
 
0.3%
5 3
 
0.3%
2 2
 
0.2%
9 2
 
0.2%
7 2
 
0.2%
3 1
 
0.1%
Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 997
8.3%
o 997
8.3%
b 997
8.3%
i 997
8.3%
e 997
8.3%
v 997
8.3%
A 997
8.3%
t 997
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12996
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.3%
l 1994
15.3%
N 997
7.7%
o 997
7.7%
b 997
7.7%
i 997
7.7%
e 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (11) 1032
7.9%
Distinct527
Distinct (%)52.7%
Missing0
Missing (%)0.0%
Memory size78.2 KiB
2023-12-09T20:54:18.586755image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters23000
Distinct characters20
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique493 ?
Unique (%)49.3%

Sample

1st row09/03/2014 11:20 PM EDT
2nd row09/03/2014 11:24 PM EDT
3rd row05/18/2015 11:32 AM EDT
4th row09/03/2014 11:20 PM EDT
5th row09/03/2014 11:20 PM EDT
ValueCountFrequency (%)
edt 843
21.1%
pm 817
20.4%
09/03/2014 428
 
10.7%
am 183
 
4.6%
11:21 180
 
4.5%
est 157
 
3.9%
11:20 69
 
1.7%
11:22 47
 
1.2%
11:30 39
 
1.0%
11:25 33
 
0.8%
Other values (496) 1204
30.1%
2023-12-09T20:54:19.085433image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3273
14.2%
3000
13.0%
1 2820
12.3%
2 2059
9.0%
/ 2000
8.7%
3 1032
 
4.5%
E 1000
 
4.3%
T 1000
 
4.3%
M 1000
 
4.3%
: 1000
 
4.3%
Other values (10) 4816
20.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12000
52.2%
Uppercase Letter 5000
21.7%
Space Separator 3000
 
13.0%
Other Punctuation 3000
 
13.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3273
27.3%
1 2820
23.5%
2 2059
17.2%
3 1032
 
8.6%
4 924
 
7.7%
9 643
 
5.4%
5 610
 
5.1%
6 369
 
3.1%
7 143
 
1.2%
8 127
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
E 1000
20.0%
T 1000
20.0%
M 1000
20.0%
D 843
16.9%
P 817
16.3%
A 183
 
3.7%
S 157
 
3.1%
Other Punctuation
ValueCountFrequency (%)
/ 2000
66.7%
: 1000
33.3%
Space Separator
ValueCountFrequency (%)
3000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18000
78.3%
Latin 5000
 
21.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3273
18.2%
3000
16.7%
1 2820
15.7%
2 2059
11.4%
/ 2000
11.1%
3 1032
 
5.7%
: 1000
 
5.6%
4 924
 
5.1%
9 643
 
3.6%
5 610
 
3.4%
Other values (3) 639
 
3.5%
Latin
ValueCountFrequency (%)
E 1000
20.0%
T 1000
20.0%
M 1000
20.0%
D 843
16.9%
P 817
16.3%
A 183
 
3.7%
S 157
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3273
14.2%
3000
13.0%
1 2820
12.3%
2 2059
9.0%
/ 2000
8.7%
3 1032
 
4.5%
E 1000
 
4.3%
T 1000
 
4.3%
M 1000
 
4.3%
: 1000
 
4.3%
Other values (10) 4816
20.9%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:54:19.266638image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.992
Min length5

Characters and Unicode

Total characters12992
Distinct characters16
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
74105 1
 
0.1%
2023-12-09T20:54:19.556161image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (6) 1004
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 5
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1998
20.0%
l 1998
20.0%
o 999
10.0%
t 999
10.0%
v 999
10.0%
i 999
10.0%
b 999
10.0%
e 999
10.0%
Decimal Number
ValueCountFrequency (%)
7 1
20.0%
4 1
20.0%
1 1
20.0%
0 1
20.0%
5 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Space Separator
ValueCountFrequency (%)
999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.3%
Common 1004
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1998
16.7%
l 1998
16.7%
N 999
8.3%
o 999
8.3%
t 999
8.3%
A 999
8.3%
v 999
8.3%
i 999
8.3%
b 999
8.3%
e 999
8.3%
Common
ValueCountFrequency (%)
999
99.5%
7 1
 
0.1%
4 1
 
0.1%
1 1
 
0.1%
0 1
 
0.1%
5 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12992
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (6) 1004
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:54:19.724931image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.993
Min length6

Characters and Unicode

Total characters12993
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
238000 1
 
0.1%
2023-12-09T20:54:20.018726image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (5) 1005
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 6
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1998
20.0%
l 1998
20.0%
o 999
10.0%
t 999
10.0%
v 999
10.0%
i 999
10.0%
b 999
10.0%
e 999
10.0%
Decimal Number
ValueCountFrequency (%)
0 3
50.0%
2 1
 
16.7%
3 1
 
16.7%
8 1
 
16.7%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Space Separator
ValueCountFrequency (%)
999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.3%
Common 1005
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1998
16.7%
l 1998
16.7%
N 999
8.3%
o 999
8.3%
t 999
8.3%
A 999
8.3%
v 999
8.3%
i 999
8.3%
b 999
8.3%
e 999
8.3%
Common
ValueCountFrequency (%)
999
99.4%
0 3
 
0.3%
2 1
 
0.1%
3 1
 
0.1%
8 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12993
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (5) 1005
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:54:20.184922image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:54:20.470035image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct12
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:54:20.661458image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.902
Min length4

Characters and Unicode

Total characters12902
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)1.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 989
49.7%
available 989
49.7%
4735 1
 
0.1%
3000 1
 
0.1%
4955 1
 
0.1%
1000 1
 
0.1%
2800 1
 
0.1%
4162 1
 
0.1%
2776 1
 
0.1%
15365 1
 
0.1%
Other values (3) 3
 
0.2%
2023-12-09T20:54:20.962202image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1978
15.3%
l 1978
15.3%
N 989
7.7%
o 989
7.7%
b 989
7.7%
i 989
7.7%
e 989
7.7%
v 989
7.7%
A 989
7.7%
989
7.7%
Other values (11) 1034
8.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9890
76.7%
Uppercase Letter 1978
 
15.3%
Space Separator 989
 
7.7%
Decimal Number 45
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8
17.8%
6 7
15.6%
5 6
13.3%
4 5
11.1%
2 5
11.1%
3 4
8.9%
1 4
8.9%
7 3
 
6.7%
9 2
 
4.4%
8 1
 
2.2%
Lowercase Letter
ValueCountFrequency (%)
a 1978
20.0%
l 1978
20.0%
o 989
10.0%
b 989
10.0%
i 989
10.0%
e 989
10.0%
v 989
10.0%
t 989
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 989
50.0%
A 989
50.0%
Space Separator
ValueCountFrequency (%)
989
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11868
92.0%
Common 1034
 
8.0%

Most frequent character per script

Common
ValueCountFrequency (%)
989
95.6%
0 8
 
0.8%
6 7
 
0.7%
5 6
 
0.6%
4 5
 
0.5%
2 5
 
0.5%
3 4
 
0.4%
1 4
 
0.4%
7 3
 
0.3%
9 2
 
0.2%
Latin
ValueCountFrequency (%)
a 1978
16.7%
l 1978
16.7%
N 989
8.3%
o 989
8.3%
b 989
8.3%
i 989
8.3%
e 989
8.3%
v 989
8.3%
A 989
8.3%
t 989
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12902
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1978
15.3%
l 1978
15.3%
N 989
7.7%
o 989
7.7%
b 989
7.7%
i 989
7.7%
e 989
7.7%
v 989
7.7%
A 989
7.7%
989
7.7%
Other values (11) 1034
8.0%
Distinct12
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:54:21.152476image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.887
Min length1

Characters and Unicode

Total characters12887
Distinct characters20
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)1.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 989
49.7%
available 989
49.7%
6.29 1
 
0.1%
11 1
 
0.1%
5.6 1
 
0.1%
12.59 1
 
0.1%
9.91 1
 
0.1%
13 1
 
0.1%
5 1
 
0.1%
9.47 1
 
0.1%
Other values (3) 3
 
0.2%
2023-12-09T20:54:21.460809image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1978
15.3%
l 1978
15.3%
N 989
7.7%
o 989
7.7%
b 989
7.7%
i 989
7.7%
e 989
7.7%
v 989
7.7%
A 989
7.7%
989
7.7%
Other values (10) 1019
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9890
76.7%
Uppercase Letter 1978
 
15.3%
Space Separator 989
 
7.7%
Decimal Number 25
 
0.2%
Other Punctuation 5
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1978
20.0%
l 1978
20.0%
o 989
10.0%
b 989
10.0%
i 989
10.0%
e 989
10.0%
v 989
10.0%
t 989
10.0%
Decimal Number
ValueCountFrequency (%)
1 7
28.0%
9 6
24.0%
6 3
12.0%
5 3
12.0%
2 2
 
8.0%
4 2
 
8.0%
3 1
 
4.0%
7 1
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
N 989
50.0%
A 989
50.0%
Space Separator
ValueCountFrequency (%)
989
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11868
92.1%
Common 1019
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1978
16.7%
l 1978
16.7%
N 989
8.3%
o 989
8.3%
b 989
8.3%
i 989
8.3%
e 989
8.3%
v 989
8.3%
A 989
8.3%
t 989
8.3%
Common
ValueCountFrequency (%)
989
97.1%
1 7
 
0.7%
9 6
 
0.6%
. 5
 
0.5%
6 3
 
0.3%
5 3
 
0.3%
2 2
 
0.2%
4 2
 
0.2%
3 1
 
0.1%
7 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12887
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1978
15.3%
l 1978
15.3%
N 989
7.7%
o 989
7.7%
b 989
7.7%
i 989
7.7%
e 989
7.7%
v 989
7.7%
A 989
7.7%
989
7.7%
Other values (10) 1019
7.9%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:54:21.628878image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:54:21.904702image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:54:22.067930image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:54:22.346268image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:54:22.509919image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:54:22.783572image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:54:22.949475image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:54:23.226612image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:54:23.398915image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.991
Min length4

Characters and Unicode

Total characters12991
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
5190 1
 
0.1%
2023-12-09T20:54:23.678806image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (5) 1003
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1998
20.0%
l 1998
20.0%
o 999
10.0%
t 999
10.0%
v 999
10.0%
i 999
10.0%
b 999
10.0%
e 999
10.0%
Decimal Number
ValueCountFrequency (%)
5 1
25.0%
1 1
25.0%
9 1
25.0%
0 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Space Separator
ValueCountFrequency (%)
999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.3%
Common 1003
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1998
16.7%
l 1998
16.7%
N 999
8.3%
o 999
8.3%
t 999
8.3%
A 999
8.3%
v 999
8.3%
i 999
8.3%
b 999
8.3%
e 999
8.3%
Common
ValueCountFrequency (%)
999
99.6%
5 1
 
0.1%
1 1
 
0.1%
9 1
 
0.1%
0 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12991
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (5) 1003
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:54:23.845478image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:54:24.119989image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:54:24.293538image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:54:24.581161image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct9
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:54:24.767963image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.931
Min length4

Characters and Unicode

Total characters12931
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)0.8%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 992
49.8%
available 992
49.8%
3181 1
 
0.1%
2000 1
 
0.1%
23196 1
 
0.1%
1200 1
 
0.1%
4368 1
 
0.1%
20000 1
 
0.1%
42757 1
 
0.1%
9684 1
 
0.1%
2023-12-09T20:54:25.065480image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1984
15.3%
l 1984
15.3%
N 992
7.7%
o 992
7.7%
b 992
7.7%
i 992
7.7%
e 992
7.7%
v 992
7.7%
A 992
7.7%
992
7.7%
Other values (11) 1027
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9920
76.7%
Uppercase Letter 1984
 
15.3%
Space Separator 992
 
7.7%
Decimal Number 35
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9
25.7%
2 5
14.3%
1 4
11.4%
3 3
 
8.6%
8 3
 
8.6%
6 3
 
8.6%
4 3
 
8.6%
9 2
 
5.7%
7 2
 
5.7%
5 1
 
2.9%
Lowercase Letter
ValueCountFrequency (%)
a 1984
20.0%
l 1984
20.0%
o 992
10.0%
b 992
10.0%
i 992
10.0%
e 992
10.0%
v 992
10.0%
t 992
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 992
50.0%
A 992
50.0%
Space Separator
ValueCountFrequency (%)
992
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11904
92.1%
Common 1027
 
7.9%

Most frequent character per script

Common
ValueCountFrequency (%)
992
96.6%
0 9
 
0.9%
2 5
 
0.5%
1 4
 
0.4%
3 3
 
0.3%
8 3
 
0.3%
6 3
 
0.3%
4 3
 
0.3%
9 2
 
0.2%
7 2
 
0.2%
Latin
ValueCountFrequency (%)
a 1984
16.7%
l 1984
16.7%
N 992
8.3%
o 992
8.3%
b 992
8.3%
i 992
8.3%
e 992
8.3%
v 992
8.3%
A 992
8.3%
t 992
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12931
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1984
15.3%
l 1984
15.3%
N 992
7.7%
o 992
7.7%
b 992
7.7%
i 992
7.7%
e 992
7.7%
v 992
7.7%
A 992
7.7%
992
7.7%
Other values (11) 1027
7.9%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:54:25.235798image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.904
Min length1

Characters and Unicode

Total characters12904
Distinct characters12
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 992
49.8%
available 992
49.8%
0 8
 
0.4%
2023-12-09T20:54:25.525959image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1984
15.4%
l 1984
15.4%
N 992
7.7%
o 992
7.7%
t 992
7.7%
992
7.7%
A 992
7.7%
v 992
7.7%
i 992
7.7%
b 992
7.7%
Other values (2) 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9920
76.9%
Uppercase Letter 1984
 
15.4%
Space Separator 992
 
7.7%
Decimal Number 8
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1984
20.0%
l 1984
20.0%
o 992
10.0%
t 992
10.0%
v 992
10.0%
i 992
10.0%
b 992
10.0%
e 992
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 992
50.0%
A 992
50.0%
Space Separator
ValueCountFrequency (%)
992
100.0%
Decimal Number
ValueCountFrequency (%)
0 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11904
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1984
16.7%
l 1984
16.7%
N 992
8.3%
o 992
8.3%
t 992
8.3%
A 992
8.3%
v 992
8.3%
i 992
8.3%
b 992
8.3%
e 992
8.3%
Common
ValueCountFrequency (%)
992
99.2%
0 8
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12904
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1984
15.4%
l 1984
15.4%
N 992
7.7%
o 992
7.7%
t 992
7.7%
992
7.7%
A 992
7.7%
v 992
7.7%
i 992
7.7%
b 992
7.7%
Other values (2) 1000
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:54:25.692881image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.904
Min length1

Characters and Unicode

Total characters12904
Distinct characters12
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 992
49.8%
available 992
49.8%
0 8
 
0.4%
2023-12-09T20:54:25.972574image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1984
15.4%
l 1984
15.4%
N 992
7.7%
o 992
7.7%
t 992
7.7%
992
7.7%
A 992
7.7%
v 992
7.7%
i 992
7.7%
b 992
7.7%
Other values (2) 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9920
76.9%
Uppercase Letter 1984
 
15.4%
Space Separator 992
 
7.7%
Decimal Number 8
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1984
20.0%
l 1984
20.0%
o 992
10.0%
t 992
10.0%
v 992
10.0%
i 992
10.0%
b 992
10.0%
e 992
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 992
50.0%
A 992
50.0%
Space Separator
ValueCountFrequency (%)
992
100.0%
Decimal Number
ValueCountFrequency (%)
0 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11904
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1984
16.7%
l 1984
16.7%
N 992
8.3%
o 992
8.3%
t 992
8.3%
A 992
8.3%
v 992
8.3%
i 992
8.3%
b 992
8.3%
e 992
8.3%
Common
ValueCountFrequency (%)
992
99.2%
0 8
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12904
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1984
15.4%
l 1984
15.4%
N 992
7.7%
o 992
7.7%
t 992
7.7%
992
7.7%
A 992
7.7%
v 992
7.7%
i 992
7.7%
b 992
7.7%
Other values (2) 1000
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:54:26.138936image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.904
Min length1

Characters and Unicode

Total characters12904
Distinct characters12
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 992
49.8%
available 992
49.8%
0 8
 
0.4%
2023-12-09T20:54:26.428358image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1984
15.4%
l 1984
15.4%
N 992
7.7%
o 992
7.7%
t 992
7.7%
992
7.7%
A 992
7.7%
v 992
7.7%
i 992
7.7%
b 992
7.7%
Other values (2) 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9920
76.9%
Uppercase Letter 1984
 
15.4%
Space Separator 992
 
7.7%
Decimal Number 8
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1984
20.0%
l 1984
20.0%
o 992
10.0%
t 992
10.0%
v 992
10.0%
i 992
10.0%
b 992
10.0%
e 992
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 992
50.0%
A 992
50.0%
Space Separator
ValueCountFrequency (%)
992
100.0%
Decimal Number
ValueCountFrequency (%)
0 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11904
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1984
16.7%
l 1984
16.7%
N 992
8.3%
o 992
8.3%
t 992
8.3%
A 992
8.3%
v 992
8.3%
i 992
8.3%
b 992
8.3%
e 992
8.3%
Common
ValueCountFrequency (%)
992
99.2%
0 8
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12904
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1984
15.4%
l 1984
15.4%
N 992
7.7%
o 992
7.7%
t 992
7.7%
992
7.7%
A 992
7.7%
v 992
7.7%
i 992
7.7%
b 992
7.7%
Other values (2) 1000
7.7%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:54:26.600050image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.986
Min length6

Characters and Unicode

Total characters12986
Distinct characters20
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
15168466.1 1
 
0.1%
3096005.1 1
 
0.1%
803856 1
 
0.1%
2023-12-09T20:54:26.901262image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
b 997
7.7%
i 997
7.7%
e 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (10) 1022
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.8%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 23
 
0.2%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
o 997
10.0%
b 997
10.0%
i 997
10.0%
e 997
10.0%
v 997
10.0%
t 997
10.0%
Decimal Number
ValueCountFrequency (%)
6 5
21.7%
1 4
17.4%
0 4
17.4%
5 3
13.0%
8 3
13.0%
3 2
 
8.7%
4 1
 
4.3%
9 1
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.1%
Common 1022
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 997
8.3%
o 997
8.3%
b 997
8.3%
i 997
8.3%
e 997
8.3%
v 997
8.3%
A 997
8.3%
t 997
8.3%
Common
ValueCountFrequency (%)
997
97.6%
6 5
 
0.5%
1 4
 
0.4%
0 4
 
0.4%
5 3
 
0.3%
8 3
 
0.3%
. 2
 
0.2%
3 2
 
0.2%
4 1
 
0.1%
9 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12986
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
o 997
7.7%
b 997
7.7%
i 997
7.7%
e 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (10) 1022
7.9%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:54:27.084704image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.991
Min length9

Characters and Unicode

Total characters12991
Distinct characters21
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
33169607.6 1
 
0.1%
162510092.1 1
 
0.1%
8612256.2 1
 
0.1%
2023-12-09T20:54:27.408336image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.3%
l 1994
15.3%
N 997
7.7%
o 997
7.7%
b 997
7.7%
i 997
7.7%
e 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (11) 1027
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.7%
Uppercase Letter 1994
 
15.3%
Space Separator 997
 
7.7%
Decimal Number 27
 
0.2%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 6
22.2%
1 5
18.5%
2 5
18.5%
0 3
11.1%
3 2
 
7.4%
9 2
 
7.4%
5 2
 
7.4%
7 1
 
3.7%
8 1
 
3.7%
Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
o 997
10.0%
b 997
10.0%
i 997
10.0%
e 997
10.0%
v 997
10.0%
t 997
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.1%
Common 1027
 
7.9%

Most frequent character per script

Common
ValueCountFrequency (%)
997
97.1%
6 6
 
0.6%
1 5
 
0.5%
2 5
 
0.5%
0 3
 
0.3%
. 3
 
0.3%
3 2
 
0.2%
9 2
 
0.2%
5 2
 
0.2%
7 1
 
0.1%
Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 997
8.3%
o 997
8.3%
b 997
8.3%
i 997
8.3%
e 997
8.3%
v 997
8.3%
A 997
8.3%
t 997
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12991
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.3%
l 1994
15.3%
N 997
7.7%
o 997
7.7%
b 997
7.7%
i 997
7.7%
e 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (11) 1027
7.9%

data_center_pue
Text

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:54:27.575588image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:54:27.851811image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:54:28.018722image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:54:28.299282image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:54:28.472089image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.974
Min length1

Characters and Unicode

Total characters12974
Distinct characters20
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 996
49.9%
available 996
49.9%
15168466.1 1
 
0.1%
3096005.1 1
 
0.1%
0 1
 
0.1%
803856 1
 
0.1%
2023-12-09T20:54:28.767006image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1992
15.4%
l 1992
15.4%
N 996
7.7%
o 996
7.7%
b 996
7.7%
i 996
7.7%
e 996
7.7%
v 996
7.7%
A 996
7.7%
996
7.7%
Other values (10) 1022
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9960
76.8%
Uppercase Letter 1992
 
15.4%
Space Separator 996
 
7.7%
Decimal Number 24
 
0.2%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1992
20.0%
l 1992
20.0%
o 996
10.0%
b 996
10.0%
i 996
10.0%
e 996
10.0%
v 996
10.0%
t 996
10.0%
Decimal Number
ValueCountFrequency (%)
6 5
20.8%
0 5
20.8%
1 4
16.7%
5 3
12.5%
8 3
12.5%
3 2
 
8.3%
4 1
 
4.2%
9 1
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
N 996
50.0%
A 996
50.0%
Space Separator
ValueCountFrequency (%)
996
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11952
92.1%
Common 1022
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1992
16.7%
l 1992
16.7%
N 996
8.3%
o 996
8.3%
b 996
8.3%
i 996
8.3%
e 996
8.3%
v 996
8.3%
A 996
8.3%
t 996
8.3%
Common
ValueCountFrequency (%)
996
97.5%
6 5
 
0.5%
0 5
 
0.5%
1 4
 
0.4%
5 3
 
0.3%
8 3
 
0.3%
. 2
 
0.2%
3 2
 
0.2%
4 1
 
0.1%
9 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12974
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1992
15.4%
l 1992
15.4%
N 996
7.7%
o 996
7.7%
b 996
7.7%
i 996
7.7%
e 996
7.7%
v 996
7.7%
A 996
7.7%
996
7.7%
Other values (10) 1022
7.9%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:54:28.937591image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.98
Min length3

Characters and Unicode

Total characters12980
Distinct characters13
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
n+1 2
 
0.1%
2023-12-09T20:54:29.212677image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 1000
7.7%
o 998
7.7%
t 998
7.7%
998
7.7%
A 998
7.7%
v 998
7.7%
i 998
7.7%
b 998
7.7%
Other values (3) 1002
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 998
 
7.7%
Math Symbol 2
 
< 0.1%
Decimal Number 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1996
20.0%
l 1996
20.0%
o 998
10.0%
t 998
10.0%
v 998
10.0%
i 998
10.0%
b 998
10.0%
e 998
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.1%
A 998
49.9%
Space Separator
ValueCountFrequency (%)
998
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Decimal Number
ValueCountFrequency (%)
1 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11978
92.3%
Common 1002
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1996
16.7%
l 1996
16.7%
N 1000
8.3%
o 998
8.3%
t 998
8.3%
A 998
8.3%
v 998
8.3%
i 998
8.3%
b 998
8.3%
e 998
8.3%
Common
ValueCountFrequency (%)
998
99.6%
+ 2
 
0.2%
1 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12980
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 1000
7.7%
o 998
7.7%
t 998
7.7%
998
7.7%
A 998
7.7%
v 998
7.7%
i 998
7.7%
b 998
7.7%
Other values (3) 1002
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size69.0 KiB
2023-12-09T20:54:29.400957image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length73
Median length13
Mean length13.48
Min length13

Characters and Unicode

Total characters13480
Distinct characters30
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 992
48.2%
available 992
48.2%
uninterruptible 8
 
0.4%
power 8
 
0.4%
supply 8
 
0.4%
ups 8
 
0.4%
supports 8
 
0.4%
only 8
 
0.4%
it 8
 
0.4%
equipment 8
 
0.4%
2023-12-09T20:54:29.705571image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 2008
14.9%
a 1984
14.7%
1056
7.8%
e 1048
7.8%
t 1024
7.6%
i 1016
7.5%
o 1016
7.5%
b 1000
7.4%
N 992
7.4%
A 992
7.4%
Other values (20) 1344
10.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10336
76.7%
Uppercase Letter 2056
 
15.3%
Space Separator 1056
 
7.8%
Open Punctuation 16
 
0.1%
Close Punctuation 16
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 2008
19.4%
a 1984
19.2%
e 1048
10.1%
t 1024
9.9%
i 1016
9.8%
o 1016
9.8%
b 1000
9.7%
v 992
9.6%
r 56
 
0.5%
p 56
 
0.5%
Other values (9) 136
 
1.3%
Uppercase Letter
ValueCountFrequency (%)
N 992
48.2%
A 992
48.2%
S 16
 
0.8%
P 16
 
0.8%
U 16
 
0.8%
I 8
 
0.4%
T 8
 
0.4%
E 8
 
0.4%
Space Separator
ValueCountFrequency (%)
1056
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12392
91.9%
Common 1088
 
8.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 2008
16.2%
a 1984
16.0%
e 1048
8.5%
t 1024
8.3%
i 1016
8.2%
o 1016
8.2%
b 1000
8.1%
N 992
8.0%
A 992
8.0%
v 992
8.0%
Other values (17) 320
 
2.6%
Common
ValueCountFrequency (%)
1056
97.1%
( 16
 
1.5%
) 16
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13480
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 2008
14.9%
a 1984
14.7%
1056
7.8%
e 1048
7.8%
t 1024
7.6%
i 1016
7.5%
o 1016
7.5%
b 1000
7.4%
N 992
7.4%
A 992
7.4%
Other values (20) 1344
10.0%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:54:29.880150image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length15
Median length13
Mean length12.992
Min length3

Characters and Unicode

Total characters12992
Distinct characters18
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
greater 1
 
< 0.1%
than 1
 
< 0.1%
2n 1
 
< 0.1%
n+1 1
 
< 0.1%
2023-12-09T20:54:30.170730image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1998
15.4%
l 1996
15.4%
N 1000
7.7%
t 1000
7.7%
1000
7.7%
e 1000
7.7%
o 998
7.7%
b 998
7.7%
i 998
7.7%
v 998
7.7%
Other values (8) 1006
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1999
 
15.4%
Space Separator 1000
 
7.7%
Decimal Number 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1998
20.0%
l 1996
20.0%
t 1000
10.0%
e 1000
10.0%
o 998
10.0%
b 998
10.0%
i 998
10.0%
v 998
10.0%
r 2
 
< 0.1%
h 1
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 998
49.9%
G 1
 
0.1%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11989
92.3%
Common 1003
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1998
16.7%
l 1996
16.6%
N 1000
8.3%
t 1000
8.3%
e 1000
8.3%
o 998
8.3%
b 998
8.3%
i 998
8.3%
v 998
8.3%
A 998
8.3%
Other values (4) 5
 
< 0.1%
Common
ValueCountFrequency (%)
1000
99.7%
2 1
 
0.1%
+ 1
 
0.1%
1 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12992
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1998
15.4%
l 1996
15.4%
N 1000
7.7%
t 1000
7.7%
1000
7.7%
e 1000
7.7%
o 998
7.7%
b 998
7.7%
i 998
7.7%
v 998
7.7%
Other values (8) 1006
7.7%
Distinct8
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:54:30.356221image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.946
Min length5

Characters and Unicode

Total characters12946
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)0.7%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 993
49.8%
available 993
49.8%
53660 1
 
0.1%
319284 1
 
0.1%
83000 1
 
0.1%
88000 1
 
0.1%
150000 1
 
0.1%
60376 1
 
0.1%
80193 1
 
0.1%
2023-12-09T20:54:30.689554image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1986
15.3%
l 1986
15.3%
N 993
7.7%
o 993
7.7%
b 993
7.7%
i 993
7.7%
e 993
7.7%
v 993
7.7%
A 993
7.7%
993
7.7%
Other values (11) 1030
8.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9930
76.7%
Uppercase Letter 1986
 
15.3%
Space Separator 993
 
7.7%
Decimal Number 37
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 13
35.1%
3 5
 
13.5%
8 5
 
13.5%
6 4
 
10.8%
1 3
 
8.1%
5 2
 
5.4%
9 2
 
5.4%
2 1
 
2.7%
4 1
 
2.7%
7 1
 
2.7%
Lowercase Letter
ValueCountFrequency (%)
a 1986
20.0%
l 1986
20.0%
o 993
10.0%
b 993
10.0%
i 993
10.0%
e 993
10.0%
v 993
10.0%
t 993
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 993
50.0%
A 993
50.0%
Space Separator
ValueCountFrequency (%)
993
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11916
92.0%
Common 1030
 
8.0%

Most frequent character per script

Common
ValueCountFrequency (%)
993
96.4%
0 13
 
1.3%
3 5
 
0.5%
8 5
 
0.5%
6 4
 
0.4%
1 3
 
0.3%
5 2
 
0.2%
9 2
 
0.2%
2 1
 
0.1%
4 1
 
0.1%
Latin
ValueCountFrequency (%)
a 1986
16.7%
l 1986
16.7%
N 993
8.3%
o 993
8.3%
b 993
8.3%
i 993
8.3%
e 993
8.3%
v 993
8.3%
A 993
8.3%
t 993
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12946
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1986
15.3%
l 1986
15.3%
N 993
7.7%
o 993
7.7%
b 993
7.7%
i 993
7.7%
e 993
7.7%
v 993
7.7%
A 993
7.7%
993
7.7%
Other values (11) 1030
8.0%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:54:30.859926image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:54:31.137814image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:54:31.304331image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:54:31.580027image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:54:31.765982image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.955
Min length4

Characters and Unicode

Total characters12955
Distinct characters20
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 995
49.9%
available 995
49.9%
1891 1
 
0.1%
4125 1
 
0.1%
4520 1
 
0.1%
2630 1
 
0.1%
1625 1
 
0.1%
2023-12-09T20:54:32.068908image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1990
15.4%
l 1990
15.4%
N 995
7.7%
o 995
7.7%
b 995
7.7%
i 995
7.7%
e 995
7.7%
v 995
7.7%
A 995
7.7%
995
7.7%
Other values (10) 1015
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9950
76.8%
Uppercase Letter 1990
 
15.4%
Space Separator 995
 
7.7%
Decimal Number 20
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4
20.0%
2 4
20.0%
5 3
15.0%
4 2
10.0%
0 2
10.0%
6 2
10.0%
8 1
 
5.0%
9 1
 
5.0%
3 1
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
a 1990
20.0%
l 1990
20.0%
o 995
10.0%
b 995
10.0%
i 995
10.0%
e 995
10.0%
v 995
10.0%
t 995
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 995
50.0%
A 995
50.0%
Space Separator
ValueCountFrequency (%)
995
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11940
92.2%
Common 1015
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1990
16.7%
l 1990
16.7%
N 995
8.3%
o 995
8.3%
b 995
8.3%
i 995
8.3%
e 995
8.3%
v 995
8.3%
A 995
8.3%
t 995
8.3%
Common
ValueCountFrequency (%)
995
98.0%
1 4
 
0.4%
2 4
 
0.4%
5 3
 
0.3%
4 2
 
0.2%
0 2
 
0.2%
6 2
 
0.2%
8 1
 
0.1%
9 1
 
0.1%
3 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12955
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1990
15.4%
l 1990
15.4%
N 995
7.7%
o 995
7.7%
b 995
7.7%
i 995
7.7%
e 995
7.7%
v 995
7.7%
A 995
7.7%
995
7.7%
Other values (10) 1015
7.8%
Distinct19
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:54:32.282427image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.856
Min length4

Characters and Unicode

Total characters12856
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)1.8%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 982
49.5%
available 982
49.5%
4631 1
 
0.1%
265192.2 1
 
0.1%
298267 1
 
0.1%
3961 1
 
0.1%
3230 1
 
0.1%
1144057 1
 
0.1%
3700 1
 
0.1%
3233 1
 
0.1%
Other values (10) 10
 
0.5%
2023-12-09T20:54:32.618173image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1964
15.3%
l 1964
15.3%
N 982
7.6%
t 982
7.6%
982
7.6%
A 982
7.6%
v 982
7.6%
i 982
7.6%
b 982
7.6%
e 982
7.6%
Other values (12) 1072
8.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9820
76.4%
Uppercase Letter 1964
 
15.3%
Space Separator 982
 
7.6%
Decimal Number 89
 
0.7%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 13
14.6%
1 12
13.5%
0 11
12.4%
2 11
12.4%
6 8
9.0%
4 8
9.0%
9 7
7.9%
8 7
7.9%
5 6
6.7%
7 6
6.7%
Lowercase Letter
ValueCountFrequency (%)
a 1964
20.0%
l 1964
20.0%
t 982
10.0%
v 982
10.0%
i 982
10.0%
b 982
10.0%
e 982
10.0%
o 982
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 982
50.0%
A 982
50.0%
Space Separator
ValueCountFrequency (%)
982
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11784
91.7%
Common 1072
 
8.3%

Most frequent character per script

Common
ValueCountFrequency (%)
982
91.6%
3 13
 
1.2%
1 12
 
1.1%
0 11
 
1.0%
2 11
 
1.0%
6 8
 
0.7%
4 8
 
0.7%
9 7
 
0.7%
8 7
 
0.7%
5 6
 
0.6%
Other values (2) 7
 
0.7%
Latin
ValueCountFrequency (%)
a 1964
16.7%
l 1964
16.7%
N 982
8.3%
t 982
8.3%
A 982
8.3%
v 982
8.3%
i 982
8.3%
b 982
8.3%
e 982
8.3%
o 982
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12856
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1964
15.3%
l 1964
15.3%
N 982
7.6%
t 982
7.6%
982
7.6%
A 982
7.6%
v 982
7.6%
i 982
7.6%
b 982
7.6%
e 982
7.6%
Other values (12) 1072
8.3%
Distinct15
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:54:32.812661image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.813
Min length1

Characters and Unicode

Total characters12813
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)1.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 982
49.5%
available 982
49.5%
10 3
 
0.2%
7 2
 
0.1%
12 2
 
0.1%
25 1
 
0.1%
408 1
 
0.1%
8077 1
 
0.1%
8 1
 
0.1%
1553.19 1
 
0.1%
Other values (6) 6
 
0.3%
2023-12-09T20:54:33.139514image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1964
15.3%
l 1964
15.3%
N 982
7.7%
t 982
7.7%
982
7.7%
A 982
7.7%
v 982
7.7%
i 982
7.7%
b 982
7.7%
e 982
7.7%
Other values (12) 1029
8.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9820
76.6%
Uppercase Letter 1964
 
15.3%
Space Separator 982
 
7.7%
Decimal Number 45
 
0.4%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 13
28.9%
1 9
20.0%
7 5
 
11.1%
2 4
 
8.9%
4 4
 
8.9%
8 4
 
8.9%
5 3
 
6.7%
3 1
 
2.2%
9 1
 
2.2%
6 1
 
2.2%
Lowercase Letter
ValueCountFrequency (%)
a 1964
20.0%
l 1964
20.0%
t 982
10.0%
v 982
10.0%
i 982
10.0%
b 982
10.0%
e 982
10.0%
o 982
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 982
50.0%
A 982
50.0%
Space Separator
ValueCountFrequency (%)
982
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11784
92.0%
Common 1029
 
8.0%

Most frequent character per script

Common
ValueCountFrequency (%)
982
95.4%
0 13
 
1.3%
1 9
 
0.9%
7 5
 
0.5%
2 4
 
0.4%
4 4
 
0.4%
8 4
 
0.4%
5 3
 
0.3%
. 2
 
0.2%
3 1
 
0.1%
Other values (2) 2
 
0.2%
Latin
ValueCountFrequency (%)
a 1964
16.7%
l 1964
16.7%
N 982
8.3%
t 982
8.3%
A 982
8.3%
v 982
8.3%
i 982
8.3%
b 982
8.3%
e 982
8.3%
o 982
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12813
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1964
15.3%
l 1964
15.3%
N 982
7.7%
t 982
7.7%
982
7.7%
A 982
7.7%
v 982
7.7%
i 982
7.7%
b 982
7.7%
e 982
7.7%
Other values (12) 1029
8.0%
Distinct15
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:54:33.345221image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.812
Min length1

Characters and Unicode

Total characters12812
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)1.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 982
49.5%
available 982
49.5%
10 3
 
0.2%
9 2
 
0.1%
20 2
 
0.1%
8.51 1
 
0.1%
0 1
 
0.1%
277 1
 
0.1%
7 1
 
0.1%
3730 1
 
0.1%
Other values (6) 6
 
0.3%
2023-12-09T20:54:33.660420image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1964
15.3%
l 1964
15.3%
N 982
7.7%
t 982
7.7%
982
7.7%
A 982
7.7%
v 982
7.7%
i 982
7.7%
b 982
7.7%
e 982
7.7%
Other values (12) 1028
8.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9820
76.6%
Uppercase Letter 1964
 
15.3%
Space Separator 982
 
7.7%
Decimal Number 44
 
0.3%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 13
29.5%
1 8
18.2%
9 4
 
9.1%
5 4
 
9.1%
7 4
 
9.1%
2 3
 
6.8%
3 3
 
6.8%
8 2
 
4.5%
6 2
 
4.5%
4 1
 
2.3%
Lowercase Letter
ValueCountFrequency (%)
a 1964
20.0%
l 1964
20.0%
t 982
10.0%
v 982
10.0%
i 982
10.0%
b 982
10.0%
e 982
10.0%
o 982
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 982
50.0%
A 982
50.0%
Space Separator
ValueCountFrequency (%)
982
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11784
92.0%
Common 1028
 
8.0%

Most frequent character per script

Common
ValueCountFrequency (%)
982
95.5%
0 13
 
1.3%
1 8
 
0.8%
9 4
 
0.4%
5 4
 
0.4%
7 4
 
0.4%
2 3
 
0.3%
3 3
 
0.3%
8 2
 
0.2%
. 2
 
0.2%
Other values (2) 3
 
0.3%
Latin
ValueCountFrequency (%)
a 1964
16.7%
l 1964
16.7%
N 982
8.3%
t 982
8.3%
A 982
8.3%
v 982
8.3%
i 982
8.3%
b 982
8.3%
e 982
8.3%
o 982
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12812
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1964
15.3%
l 1964
15.3%
N 982
7.7%
t 982
7.7%
982
7.7%
A 982
7.7%
v 982
7.7%
i 982
7.7%
b 982
7.7%
e 982
7.7%
Other values (12) 1028
8.0%
Distinct15
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:54:33.876584image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.807
Min length2

Characters and Unicode

Total characters12807
Distinct characters21
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)1.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 982
49.5%
available 982
49.5%
45 3
 
0.2%
65 2
 
0.1%
55 2
 
0.1%
50 1
 
0.1%
104 1
 
0.1%
52 1
 
0.1%
40 1
 
0.1%
70.76 1
 
0.1%
Other values (6) 6
 
0.3%
2023-12-09T20:54:34.216153image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1964
15.3%
l 1964
15.3%
N 982
7.7%
o 982
7.7%
b 982
7.7%
i 982
7.7%
e 982
7.7%
v 982
7.7%
A 982
7.7%
982
7.7%
Other values (11) 1023
8.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9820
76.7%
Uppercase Letter 1964
 
15.3%
Space Separator 982
 
7.7%
Decimal Number 40
 
0.3%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 15
37.5%
4 7
17.5%
0 6
 
15.0%
6 5
 
12.5%
1 2
 
5.0%
7 2
 
5.0%
2 1
 
2.5%
8 1
 
2.5%
9 1
 
2.5%
Lowercase Letter
ValueCountFrequency (%)
a 1964
20.0%
l 1964
20.0%
o 982
10.0%
b 982
10.0%
i 982
10.0%
e 982
10.0%
v 982
10.0%
t 982
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 982
50.0%
A 982
50.0%
Space Separator
ValueCountFrequency (%)
982
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11784
92.0%
Common 1023
 
8.0%

Most frequent character per script

Common
ValueCountFrequency (%)
982
96.0%
5 15
 
1.5%
4 7
 
0.7%
0 6
 
0.6%
6 5
 
0.5%
1 2
 
0.2%
7 2
 
0.2%
2 1
 
0.1%
. 1
 
0.1%
8 1
 
0.1%
Latin
ValueCountFrequency (%)
a 1964
16.7%
l 1964
16.7%
N 982
8.3%
o 982
8.3%
b 982
8.3%
i 982
8.3%
e 982
8.3%
v 982
8.3%
A 982
8.3%
t 982
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12807
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1964
15.3%
l 1964
15.3%
N 982
7.7%
o 982
7.7%
b 982
7.7%
i 982
7.7%
e 982
7.7%
v 982
7.7%
A 982
7.7%
982
7.7%
Other values (11) 1023
8.0%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:54:34.400199image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.976
Min length5

Characters and Unicode

Total characters12976
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
17500 1
 
0.1%
11201 1
 
0.1%
20357 1
 
0.1%
2023-12-09T20:54:34.717422image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1994
15.4%
a 1994
15.4%
e 997
7.7%
b 997
7.7%
o 997
7.7%
i 997
7.7%
N 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (7) 1012
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.8%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 15
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1994
20.0%
a 1994
20.0%
e 997
10.0%
b 997
10.0%
o 997
10.0%
i 997
10.0%
v 997
10.0%
t 997
10.0%
Decimal Number
ValueCountFrequency (%)
1 4
26.7%
0 4
26.7%
7 2
13.3%
5 2
13.3%
2 2
13.3%
3 1
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.2%
Common 1012
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1994
16.7%
a 1994
16.7%
e 997
8.3%
b 997
8.3%
o 997
8.3%
i 997
8.3%
N 997
8.3%
v 997
8.3%
A 997
8.3%
t 997
8.3%
Common
ValueCountFrequency (%)
997
98.5%
1 4
 
0.4%
0 4
 
0.4%
7 2
 
0.2%
5 2
 
0.2%
2 2
 
0.2%
3 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12976
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1994
15.4%
a 1994
15.4%
e 997
7.7%
b 997
7.7%
o 997
7.7%
i 997
7.7%
N 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (7) 1012
7.8%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:54:34.901265image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.973
Min length4

Characters and Unicode

Total characters12973
Distinct characters18
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
3428 1
 
0.1%
2500 1
 
0.1%
1200 1
 
0.1%
2023-12-09T20:54:35.195845image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
e 997
7.7%
o 997
7.7%
i 997
7.7%
b 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (8) 1009
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.9%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 12
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1994
20.0%
l 1994
20.0%
e 997
10.0%
o 997
10.0%
i 997
10.0%
b 997
10.0%
v 997
10.0%
t 997
10.0%
Decimal Number
ValueCountFrequency (%)
0 4
33.3%
2 3
25.0%
3 1
 
8.3%
4 1
 
8.3%
8 1
 
8.3%
5 1
 
8.3%
1 1
 
8.3%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.2%
Common 1009
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1994
16.7%
l 1994
16.7%
N 997
8.3%
e 997
8.3%
o 997
8.3%
i 997
8.3%
b 997
8.3%
v 997
8.3%
A 997
8.3%
t 997
8.3%
Common
ValueCountFrequency (%)
997
98.8%
0 4
 
0.4%
2 3
 
0.3%
3 1
 
0.1%
4 1
 
0.1%
8 1
 
0.1%
5 1
 
0.1%
1 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12973
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1994
15.4%
l 1994
15.4%
N 997
7.7%
e 997
7.7%
o 997
7.7%
i 997
7.7%
b 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (8) 1009
7.8%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:54:35.370730image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.991
Min length4

Characters and Unicode

Total characters12991
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
3700 1
 
0.1%
2023-12-09T20:54:35.665328image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (4) 1003
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1998
20.0%
l 1998
20.0%
o 999
10.0%
t 999
10.0%
v 999
10.0%
i 999
10.0%
b 999
10.0%
e 999
10.0%
Decimal Number
ValueCountFrequency (%)
0 2
50.0%
3 1
25.0%
7 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Space Separator
ValueCountFrequency (%)
999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.3%
Common 1003
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1998
16.7%
l 1998
16.7%
N 999
8.3%
o 999
8.3%
t 999
8.3%
A 999
8.3%
v 999
8.3%
i 999
8.3%
b 999
8.3%
e 999
8.3%
Common
ValueCountFrequency (%)
999
99.6%
0 2
 
0.2%
3 1
 
0.1%
7 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12991
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (4) 1003
7.7%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:54:35.834427image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.981
Min length3

Characters and Unicode

Total characters12981
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
1820 1
 
0.1%
432 1
 
0.1%
2023-12-09T20:54:36.117200image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1996
15.4%
a 1996
15.4%
e 998
7.7%
b 998
7.7%
o 998
7.7%
i 998
7.7%
N 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (7) 1005
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.9%
Uppercase Letter 1996
 
15.4%
Space Separator 998
 
7.7%
Decimal Number 7
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1996
20.0%
a 1996
20.0%
e 998
10.0%
b 998
10.0%
o 998
10.0%
i 998
10.0%
v 998
10.0%
t 998
10.0%
Decimal Number
ValueCountFrequency (%)
2 2
28.6%
1 1
14.3%
8 1
14.3%
0 1
14.3%
4 1
14.3%
3 1
14.3%
Uppercase Letter
ValueCountFrequency (%)
N 998
50.0%
A 998
50.0%
Space Separator
ValueCountFrequency (%)
998
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11976
92.3%
Common 1005
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1996
16.7%
a 1996
16.7%
e 998
8.3%
b 998
8.3%
o 998
8.3%
i 998
8.3%
N 998
8.3%
v 998
8.3%
A 998
8.3%
t 998
8.3%
Common
ValueCountFrequency (%)
998
99.3%
2 2
 
0.2%
1 1
 
0.1%
8 1
 
0.1%
0 1
 
0.1%
4 1
 
0.1%
3 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12981
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1996
15.4%
a 1996
15.4%
e 998
7.7%
b 998
7.7%
o 998
7.7%
i 998
7.7%
N 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (7) 1005
7.7%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:54:36.288671image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.984
Min length3

Characters and Unicode

Total characters12984
Distinct characters18
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
2.6 1
 
0.1%
2.30678 1
 
0.1%
2023-12-09T20:54:36.571900image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
e 998
7.7%
o 998
7.7%
i 998
7.7%
b 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (8) 1008
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.9%
Uppercase Letter 1996
 
15.4%
Space Separator 998
 
7.7%
Decimal Number 8
 
0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1996
20.0%
l 1996
20.0%
e 998
10.0%
o 998
10.0%
i 998
10.0%
b 998
10.0%
v 998
10.0%
t 998
10.0%
Decimal Number
ValueCountFrequency (%)
2 2
25.0%
6 2
25.0%
3 1
12.5%
0 1
12.5%
7 1
12.5%
8 1
12.5%
Uppercase Letter
ValueCountFrequency (%)
N 998
50.0%
A 998
50.0%
Space Separator
ValueCountFrequency (%)
998
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11976
92.2%
Common 1008
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1996
16.7%
l 1996
16.7%
N 998
8.3%
e 998
8.3%
o 998
8.3%
i 998
8.3%
b 998
8.3%
v 998
8.3%
A 998
8.3%
t 998
8.3%
Common
ValueCountFrequency (%)
998
99.0%
2 2
 
0.2%
. 2
 
0.2%
6 2
 
0.2%
3 1
 
0.1%
0 1
 
0.1%
7 1
 
0.1%
8 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12984
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
e 998
7.7%
o 998
7.7%
i 998
7.7%
b 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (8) 1008
7.8%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:54:36.742715image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.986
Min length6

Characters and Unicode

Total characters12986
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
700000 1
 
0.1%
187274 1
 
0.1%
2023-12-09T20:54:37.040061image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1996
15.4%
a 1996
15.4%
e 998
7.7%
b 998
7.7%
o 998
7.7%
i 998
7.7%
N 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (7) 1010
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.9%
Uppercase Letter 1996
 
15.4%
Space Separator 998
 
7.7%
Decimal Number 12
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1996
20.0%
a 1996
20.0%
e 998
10.0%
b 998
10.0%
o 998
10.0%
i 998
10.0%
v 998
10.0%
t 998
10.0%
Decimal Number
ValueCountFrequency (%)
0 5
41.7%
7 3
25.0%
1 1
 
8.3%
8 1
 
8.3%
2 1
 
8.3%
4 1
 
8.3%
Uppercase Letter
ValueCountFrequency (%)
N 998
50.0%
A 998
50.0%
Space Separator
ValueCountFrequency (%)
998
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11976
92.2%
Common 1010
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1996
16.7%
a 1996
16.7%
e 998
8.3%
b 998
8.3%
o 998
8.3%
i 998
8.3%
N 998
8.3%
v 998
8.3%
A 998
8.3%
t 998
8.3%
Common
ValueCountFrequency (%)
998
98.8%
0 5
 
0.5%
7 3
 
0.3%
1 1
 
0.1%
8 1
 
0.1%
2 1
 
0.1%
4 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12986
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1996
15.4%
a 1996
15.4%
e 998
7.7%
b 998
7.7%
o 998
7.7%
i 998
7.7%
N 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (7) 1010
7.8%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:54:37.211336image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.984
Min length2

Characters and Unicode

Total characters12984
Distinct characters16
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
100 1
 
0.1%
yes 1
 
0.1%
no 1
 
0.1%
2023-12-09T20:54:37.496947image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 999
7.7%
o 999
7.7%
999
7.7%
e 999
7.7%
t 998
7.7%
A 998
7.7%
v 998
7.7%
i 998
7.7%
Other values (6) 1004
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9983
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 3
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1996
20.0%
l 1996
20.0%
o 999
10.0%
e 999
10.0%
t 998
10.0%
v 998
10.0%
i 998
10.0%
b 998
10.0%
s 1
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 998
49.9%
Y 1
 
0.1%
Decimal Number
ValueCountFrequency (%)
0 2
66.7%
1 1
33.3%
Space Separator
ValueCountFrequency (%)
999
100.0%
Other Punctuation
ValueCountFrequency (%)
% 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11981
92.3%
Common 1003
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1996
16.7%
l 1996
16.7%
N 999
8.3%
o 999
8.3%
e 999
8.3%
t 998
8.3%
A 998
8.3%
v 998
8.3%
i 998
8.3%
b 998
8.3%
Other values (2) 2
 
< 0.1%
Common
ValueCountFrequency (%)
999
99.6%
0 2
 
0.2%
1 1
 
0.1%
% 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12984
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 999
7.7%
o 999
7.7%
999
7.7%
e 999
7.7%
t 998
7.7%
A 998
7.7%
v 998
7.7%
i 998
7.7%
Other values (6) 1004
7.7%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:54:37.680693image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.982
Min length3

Characters and Unicode

Total characters12982
Distinct characters19
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
190.5 1
 
0.1%
483 1
 
0.1%
2023-12-09T20:54:37.970816image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
e 998
7.7%
o 998
7.7%
i 998
7.7%
b 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (9) 1006
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.9%
Uppercase Letter 1996
 
15.4%
Space Separator 998
 
7.7%
Decimal Number 7
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1996
20.0%
l 1996
20.0%
e 998
10.0%
o 998
10.0%
i 998
10.0%
b 998
10.0%
v 998
10.0%
t 998
10.0%
Decimal Number
ValueCountFrequency (%)
1 1
14.3%
9 1
14.3%
0 1
14.3%
5 1
14.3%
4 1
14.3%
8 1
14.3%
3 1
14.3%
Uppercase Letter
ValueCountFrequency (%)
N 998
50.0%
A 998
50.0%
Space Separator
ValueCountFrequency (%)
998
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11976
92.3%
Common 1006
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1996
16.7%
l 1996
16.7%
N 998
8.3%
e 998
8.3%
o 998
8.3%
i 998
8.3%
b 998
8.3%
v 998
8.3%
A 998
8.3%
t 998
8.3%
Common
ValueCountFrequency (%)
998
99.2%
1 1
 
0.1%
9 1
 
0.1%
0 1
 
0.1%
. 1
 
0.1%
5 1
 
0.1%
4 1
 
0.1%
8 1
 
0.1%
3 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12982
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
e 998
7.7%
o 998
7.7%
i 998
7.7%
b 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (9) 1006
7.7%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:54:38.154877image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.985
Min length4

Characters and Unicode

Total characters12985
Distinct characters19
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
0.69 1
 
0.1%
1.01723 1
 
0.1%
2023-12-09T20:54:38.454808image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
e 998
7.7%
o 998
7.7%
i 998
7.7%
b 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (9) 1009
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.9%
Uppercase Letter 1996
 
15.4%
Space Separator 998
 
7.7%
Decimal Number 9
 
0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1996
20.0%
l 1996
20.0%
e 998
10.0%
o 998
10.0%
i 998
10.0%
b 998
10.0%
v 998
10.0%
t 998
10.0%
Decimal Number
ValueCountFrequency (%)
0 2
22.2%
1 2
22.2%
6 1
11.1%
9 1
11.1%
7 1
11.1%
2 1
11.1%
3 1
11.1%
Uppercase Letter
ValueCountFrequency (%)
N 998
50.0%
A 998
50.0%
Space Separator
ValueCountFrequency (%)
998
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11976
92.2%
Common 1009
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1996
16.7%
l 1996
16.7%
N 998
8.3%
e 998
8.3%
o 998
8.3%
i 998
8.3%
b 998
8.3%
v 998
8.3%
A 998
8.3%
t 998
8.3%
Common
ValueCountFrequency (%)
998
98.9%
0 2
 
0.2%
. 2
 
0.2%
1 2
 
0.2%
6 1
 
0.1%
9 1
 
0.1%
7 1
 
0.1%
2 1
 
0.1%
3 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12985
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
e 998
7.7%
o 998
7.7%
i 998
7.7%
b 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (9) 1009
7.8%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:54:38.626046image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.977
Min length1

Characters and Unicode

Total characters12977
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
6 1
 
0.1%
14 1
 
0.1%
2023-12-09T20:54:38.921327image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
o 998
7.7%
t 998
7.7%
998
7.7%
A 998
7.7%
v 998
7.7%
i 998
7.7%
b 998
7.7%
Other values (4) 1001
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.9%
Uppercase Letter 1996
 
15.4%
Space Separator 998
 
7.7%
Decimal Number 3
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1996
20.0%
l 1996
20.0%
o 998
10.0%
t 998
10.0%
v 998
10.0%
i 998
10.0%
b 998
10.0%
e 998
10.0%
Decimal Number
ValueCountFrequency (%)
6 1
33.3%
1 1
33.3%
4 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
N 998
50.0%
A 998
50.0%
Space Separator
ValueCountFrequency (%)
998
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11976
92.3%
Common 1001
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1996
16.7%
l 1996
16.7%
N 998
8.3%
o 998
8.3%
t 998
8.3%
A 998
8.3%
v 998
8.3%
i 998
8.3%
b 998
8.3%
e 998
8.3%
Common
ValueCountFrequency (%)
998
99.7%
6 1
 
0.1%
1 1
 
0.1%
4 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12977
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
o 998
7.7%
t 998
7.7%
998
7.7%
A 998
7.7%
v 998
7.7%
i 998
7.7%
b 998
7.7%
Other values (4) 1001
7.7%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:54:39.093539image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.982
Min length1

Characters and Unicode

Total characters12982
Distinct characters16
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
0 1
 
0.1%
0.00143 1
 
0.1%
2023-12-09T20:54:39.393611image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
o 998
7.7%
t 998
7.7%
998
7.7%
A 998
7.7%
v 998
7.7%
i 998
7.7%
b 998
7.7%
Other values (6) 1006
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.9%
Uppercase Letter 1996
 
15.4%
Space Separator 998
 
7.7%
Decimal Number 7
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1996
20.0%
l 1996
20.0%
o 998
10.0%
t 998
10.0%
v 998
10.0%
i 998
10.0%
b 998
10.0%
e 998
10.0%
Decimal Number
ValueCountFrequency (%)
0 4
57.1%
1 1
 
14.3%
4 1
 
14.3%
3 1
 
14.3%
Uppercase Letter
ValueCountFrequency (%)
N 998
50.0%
A 998
50.0%
Space Separator
ValueCountFrequency (%)
998
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11976
92.3%
Common 1006
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1996
16.7%
l 1996
16.7%
N 998
8.3%
o 998
8.3%
t 998
8.3%
A 998
8.3%
v 998
8.3%
i 998
8.3%
b 998
8.3%
e 998
8.3%
Common
ValueCountFrequency (%)
998
99.2%
0 4
 
0.4%
. 1
 
0.1%
1 1
 
0.1%
4 1
 
0.1%
3 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12982
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
o 998
7.7%
t 998
7.7%
998
7.7%
A 998
7.7%
v 998
7.7%
i 998
7.7%
b 998
7.7%
Other values (6) 1006
7.7%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:54:39.567133image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.976
Min length1

Characters and Unicode

Total characters12976
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
0 1
 
0.1%
1 1
 
0.1%
2023-12-09T20:54:39.851126image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
o 998
7.7%
t 998
7.7%
998
7.7%
A 998
7.7%
v 998
7.7%
i 998
7.7%
b 998
7.7%
Other values (3) 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.9%
Uppercase Letter 1996
 
15.4%
Space Separator 998
 
7.7%
Decimal Number 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1996
20.0%
l 1996
20.0%
o 998
10.0%
t 998
10.0%
v 998
10.0%
i 998
10.0%
b 998
10.0%
e 998
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 998
50.0%
A 998
50.0%
Decimal Number
ValueCountFrequency (%)
0 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
998
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11976
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1996
16.7%
l 1996
16.7%
N 998
8.3%
o 998
8.3%
t 998
8.3%
A 998
8.3%
v 998
8.3%
i 998
8.3%
b 998
8.3%
e 998
8.3%
Common
ValueCountFrequency (%)
998
99.8%
0 1
 
0.1%
1 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12976
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
o 998
7.7%
t 998
7.7%
998
7.7%
A 998
7.7%
v 998
7.7%
i 998
7.7%
b 998
7.7%
Other values (3) 1000
7.7%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:54:40.021755image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.979
Min length2

Characters and Unicode

Total characters12979
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
464 1
 
0.1%
97 1
 
0.1%
2023-12-09T20:54:40.322174image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
o 998
7.7%
t 998
7.7%
998
7.7%
A 998
7.7%
v 998
7.7%
i 998
7.7%
b 998
7.7%
Other values (5) 1003
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.9%
Uppercase Letter 1996
 
15.4%
Space Separator 998
 
7.7%
Decimal Number 5
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1996
20.0%
l 1996
20.0%
o 998
10.0%
t 998
10.0%
v 998
10.0%
i 998
10.0%
b 998
10.0%
e 998
10.0%
Decimal Number
ValueCountFrequency (%)
4 2
40.0%
6 1
20.0%
9 1
20.0%
7 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
N 998
50.0%
A 998
50.0%
Space Separator
ValueCountFrequency (%)
998
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11976
92.3%
Common 1003
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1996
16.7%
l 1996
16.7%
N 998
8.3%
o 998
8.3%
t 998
8.3%
A 998
8.3%
v 998
8.3%
i 998
8.3%
b 998
8.3%
e 998
8.3%
Common
ValueCountFrequency (%)
998
99.5%
4 2
 
0.2%
6 1
 
0.1%
9 1
 
0.1%
7 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12979
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
o 998
7.7%
t 998
7.7%
998
7.7%
A 998
7.7%
v 998
7.7%
i 998
7.7%
b 998
7.7%
Other values (5) 1003
7.7%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:54:40.495856image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.982
Min length3

Characters and Unicode

Total characters12982
Distinct characters18
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
364.5 1
 
0.1%
924 1
 
0.1%
2023-12-09T20:54:40.783321image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
e 998
7.7%
o 998
7.7%
i 998
7.7%
b 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (8) 1006
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.9%
Uppercase Letter 1996
 
15.4%
Space Separator 998
 
7.7%
Decimal Number 7
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1996
20.0%
l 1996
20.0%
e 998
10.0%
o 998
10.0%
i 998
10.0%
b 998
10.0%
v 998
10.0%
t 998
10.0%
Decimal Number
ValueCountFrequency (%)
4 2
28.6%
3 1
14.3%
6 1
14.3%
5 1
14.3%
9 1
14.3%
2 1
14.3%
Uppercase Letter
ValueCountFrequency (%)
N 998
50.0%
A 998
50.0%
Space Separator
ValueCountFrequency (%)
998
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11976
92.3%
Common 1006
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1996
16.7%
l 1996
16.7%
N 998
8.3%
e 998
8.3%
o 998
8.3%
i 998
8.3%
b 998
8.3%
v 998
8.3%
A 998
8.3%
t 998
8.3%
Common
ValueCountFrequency (%)
998
99.2%
4 2
 
0.2%
3 1
 
0.1%
6 1
 
0.1%
. 1
 
0.1%
5 1
 
0.1%
9 1
 
0.1%
2 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12982
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
e 998
7.7%
o 998
7.7%
i 998
7.7%
b 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (8) 1006
7.7%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:54:40.956367image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.985
Min length4

Characters and Unicode

Total characters12985
Distinct characters19
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
1.94635 1
 
0.1%
1.32 1
 
0.1%
2023-12-09T20:54:41.252840image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
e 998
7.7%
o 998
7.7%
i 998
7.7%
b 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (9) 1009
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.9%
Uppercase Letter 1996
 
15.4%
Space Separator 998
 
7.7%
Decimal Number 9
 
0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1996
20.0%
l 1996
20.0%
e 998
10.0%
o 998
10.0%
i 998
10.0%
b 998
10.0%
v 998
10.0%
t 998
10.0%
Decimal Number
ValueCountFrequency (%)
1 2
22.2%
3 2
22.2%
9 1
11.1%
4 1
11.1%
6 1
11.1%
5 1
11.1%
2 1
11.1%
Uppercase Letter
ValueCountFrequency (%)
N 998
50.0%
A 998
50.0%
Space Separator
ValueCountFrequency (%)
998
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11976
92.2%
Common 1009
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1996
16.7%
l 1996
16.7%
N 998
8.3%
e 998
8.3%
o 998
8.3%
i 998
8.3%
b 998
8.3%
v 998
8.3%
A 998
8.3%
t 998
8.3%
Common
ValueCountFrequency (%)
998
98.9%
1 2
 
0.2%
. 2
 
0.2%
3 2
 
0.2%
9 1
 
0.1%
4 1
 
0.1%
6 1
 
0.1%
5 1
 
0.1%
2 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12985
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
e 998
7.7%
o 998
7.7%
i 998
7.7%
b 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (9) 1009
7.8%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:54:41.426327image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.978
Min length2

Characters and Unicode

Total characters12978
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
no 2
 
0.1%
2023-12-09T20:54:41.721143image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 1000
7.7%
o 1000
7.7%
t 998
7.7%
998
7.7%
A 998
7.7%
v 998
7.7%
i 998
7.7%
b 998
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9982
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 998
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1996
20.0%
l 1996
20.0%
o 1000
10.0%
t 998
10.0%
v 998
10.0%
i 998
10.0%
b 998
10.0%
e 998
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.1%
A 998
49.9%
Space Separator
ValueCountFrequency (%)
998
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11980
92.3%
Common 998
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1996
16.7%
l 1996
16.7%
N 1000
8.3%
o 1000
8.3%
t 998
8.3%
A 998
8.3%
v 998
8.3%
i 998
8.3%
b 998
8.3%
e 998
8.3%
Common
ValueCountFrequency (%)
998
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12978
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 1000
7.7%
o 1000
7.7%
t 998
7.7%
998
7.7%
A 998
7.7%
v 998
7.7%
i 998
7.7%
b 998
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:54:41.900599image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.997
Min length10

Characters and Unicode

Total characters12997
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
non 1
 
< 0.1%
profit 1
 
< 0.1%
2023-12-09T20:54:42.202475image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
o 1001
7.7%
N 1000
7.7%
t 1000
7.7%
1000
7.7%
i 1000
7.7%
A 999
7.7%
v 999
7.7%
b 999
7.7%
Other values (5) 1003
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9997
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1998
20.0%
l 1998
20.0%
o 1001
10.0%
t 1000
10.0%
i 1000
10.0%
v 999
10.0%
b 999
10.0%
e 999
10.0%
n 1
 
< 0.1%
r 1
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 999
50.0%
P 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11997
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1998
16.7%
l 1998
16.7%
o 1001
8.3%
N 1000
8.3%
t 1000
8.3%
i 1000
8.3%
A 999
8.3%
v 999
8.3%
b 999
8.3%
e 999
8.3%
Other values (4) 4
 
< 0.1%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12997
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
o 1001
7.7%
N 1000
7.7%
t 1000
7.7%
1000
7.7%
i 1000
7.7%
A 999
7.7%
v 999
7.7%
b 999
7.7%
Other values (5) 1003
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:54:42.373338image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.98
Min length3

Characters and Unicode

Total characters12980
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
100 2
 
0.1%
2023-12-09T20:54:42.657348image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
o 998
7.7%
t 998
7.7%
998
7.7%
A 998
7.7%
v 998
7.7%
i 998
7.7%
b 998
7.7%
Other values (3) 1004
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.9%
Uppercase Letter 1996
 
15.4%
Space Separator 998
 
7.7%
Decimal Number 6
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1996
20.0%
l 1996
20.0%
o 998
10.0%
t 998
10.0%
v 998
10.0%
i 998
10.0%
b 998
10.0%
e 998
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 998
50.0%
A 998
50.0%
Decimal Number
ValueCountFrequency (%)
0 4
66.7%
1 2
33.3%
Space Separator
ValueCountFrequency (%)
998
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11976
92.3%
Common 1004
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1996
16.7%
l 1996
16.7%
N 998
8.3%
o 998
8.3%
t 998
8.3%
A 998
8.3%
v 998
8.3%
i 998
8.3%
b 998
8.3%
e 998
8.3%
Common
ValueCountFrequency (%)
998
99.4%
0 4
 
0.4%
1 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12980
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
o 998
7.7%
t 998
7.7%
998
7.7%
A 998
7.7%
v 998
7.7%
i 998
7.7%
b 998
7.7%
Other values (3) 1004
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:54:42.837422image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.98
Min length3

Characters and Unicode

Total characters12980
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
100 2
 
0.1%
2023-12-09T20:54:43.121456image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
o 998
7.7%
t 998
7.7%
998
7.7%
A 998
7.7%
v 998
7.7%
i 998
7.7%
b 998
7.7%
Other values (3) 1004
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.9%
Uppercase Letter 1996
 
15.4%
Space Separator 998
 
7.7%
Decimal Number 6
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1996
20.0%
l 1996
20.0%
o 998
10.0%
t 998
10.0%
v 998
10.0%
i 998
10.0%
b 998
10.0%
e 998
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 998
50.0%
A 998
50.0%
Decimal Number
ValueCountFrequency (%)
0 4
66.7%
1 2
33.3%
Space Separator
ValueCountFrequency (%)
998
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11976
92.3%
Common 1004
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1996
16.7%
l 1996
16.7%
N 998
8.3%
o 998
8.3%
t 998
8.3%
A 998
8.3%
v 998
8.3%
i 998
8.3%
b 998
8.3%
e 998
8.3%
Common
ValueCountFrequency (%)
998
99.4%
0 4
 
0.4%
1 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12980
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
o 998
7.7%
t 998
7.7%
998
7.7%
A 998
7.7%
v 998
7.7%
i 998
7.7%
b 998
7.7%
Other values (3) 1004
7.7%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:54:43.296703image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.988
Min length7

Characters and Unicode

Total characters12988
Distinct characters20
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
0.66286 1
 
0.1%
0.51796 1
 
0.1%
2023-12-09T20:54:43.590660image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
o 998
7.7%
b 998
7.7%
i 998
7.7%
e 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (10) 1012
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.8%
Uppercase Letter 1996
 
15.4%
Space Separator 998
 
7.7%
Decimal Number 12
 
0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1996
20.0%
l 1996
20.0%
o 998
10.0%
b 998
10.0%
i 998
10.0%
e 998
10.0%
v 998
10.0%
t 998
10.0%
Decimal Number
ValueCountFrequency (%)
6 4
33.3%
0 2
16.7%
2 1
 
8.3%
8 1
 
8.3%
5 1
 
8.3%
1 1
 
8.3%
7 1
 
8.3%
9 1
 
8.3%
Uppercase Letter
ValueCountFrequency (%)
N 998
50.0%
A 998
50.0%
Space Separator
ValueCountFrequency (%)
998
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11976
92.2%
Common 1012
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1996
16.7%
l 1996
16.7%
N 998
8.3%
o 998
8.3%
b 998
8.3%
i 998
8.3%
e 998
8.3%
v 998
8.3%
A 998
8.3%
t 998
8.3%
Common
ValueCountFrequency (%)
998
98.6%
6 4
 
0.4%
0 2
 
0.2%
. 2
 
0.2%
2 1
 
0.1%
8 1
 
0.1%
5 1
 
0.1%
1 1
 
0.1%
7 1
 
0.1%
9 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12988
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
o 998
7.7%
b 998
7.7%
i 998
7.7%
e 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (10) 1012
7.8%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:54:43.759604image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.978
Min length2

Characters and Unicode

Total characters12978
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
no 2
 
0.1%
2023-12-09T20:54:44.039291image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 1000
7.7%
o 1000
7.7%
t 998
7.7%
998
7.7%
A 998
7.7%
v 998
7.7%
i 998
7.7%
b 998
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9982
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 998
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1996
20.0%
l 1996
20.0%
o 1000
10.0%
t 998
10.0%
v 998
10.0%
i 998
10.0%
b 998
10.0%
e 998
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.1%
A 998
49.9%
Space Separator
ValueCountFrequency (%)
998
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11980
92.3%
Common 998
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1996
16.7%
l 1996
16.7%
N 1000
8.3%
o 1000
8.3%
t 998
8.3%
A 998
8.3%
v 998
8.3%
i 998
8.3%
b 998
8.3%
e 998
8.3%
Common
ValueCountFrequency (%)
998
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12978
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 1000
7.7%
o 1000
7.7%
t 998
7.7%
998
7.7%
A 998
7.7%
v 998
7.7%
i 998
7.7%
b 998
7.7%
Distinct29
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T20:54:44.255247image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.748
Min length3

Characters and Unicode

Total characters12748
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)2.7%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th row15000
5th rowNot Available
ValueCountFrequency (%)
not 971
49.3%
available 971
49.3%
700 2
 
0.1%
1500 1
 
0.1%
2880 1
 
0.1%
1100 1
 
0.1%
2350 1
 
0.1%
93725 1
 
0.1%
9467 1
 
0.1%
5682 1
 
0.1%
Other values (20) 20
 
1.0%
2023-12-09T20:54:44.591404image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1942
15.2%
l 1942
15.2%
N 971
7.6%
o 971
7.6%
b 971
7.6%
i 971
7.6%
e 971
7.6%
v 971
7.6%
A 971
7.6%
971
7.6%
Other values (11) 1096
8.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9710
76.2%
Uppercase Letter 1942
 
15.2%
Space Separator 971
 
7.6%
Decimal Number 125
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 40
32.0%
1 15
 
12.0%
5 13
 
10.4%
2 13
 
10.4%
6 9
 
7.2%
7 8
 
6.4%
3 8
 
6.4%
9 8
 
6.4%
8 7
 
5.6%
4 4
 
3.2%
Lowercase Letter
ValueCountFrequency (%)
a 1942
20.0%
l 1942
20.0%
o 971
10.0%
b 971
10.0%
i 971
10.0%
e 971
10.0%
v 971
10.0%
t 971
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 971
50.0%
A 971
50.0%
Space Separator
ValueCountFrequency (%)
971
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11652
91.4%
Common 1096
 
8.6%

Most frequent character per script

Common
ValueCountFrequency (%)
971
88.6%
0 40
 
3.6%
1 15
 
1.4%
5 13
 
1.2%
2 13
 
1.2%
6 9
 
0.8%
7 8
 
0.7%
3 8
 
0.7%
9 8
 
0.7%
8 7
 
0.6%
Latin
ValueCountFrequency (%)
a 1942
16.7%
l 1942
16.7%
N 971
8.3%
o 971
8.3%
b 971
8.3%
i 971
8.3%
e 971
8.3%
v 971
8.3%
A 971
8.3%
t 971
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12748
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1942
15.2%
l 1942
15.2%
N 971
7.6%
o 971
7.6%
b 971
7.6%
i 971
7.6%
e 971
7.6%
v 971
7.6%
A 971
7.6%
971
7.6%
Other values (11) 1096
8.6%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:54:44.767206image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.952
Min length1

Characters and Unicode

Total characters12952
Distinct characters12
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 996
49.9%
available 996
49.9%
0 4
 
0.2%
2023-12-09T20:54:45.044599image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1992
15.4%
l 1992
15.4%
N 996
7.7%
o 996
7.7%
t 996
7.7%
996
7.7%
A 996
7.7%
v 996
7.7%
i 996
7.7%
b 996
7.7%
Other values (2) 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9960
76.9%
Uppercase Letter 1992
 
15.4%
Space Separator 996
 
7.7%
Decimal Number 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1992
20.0%
l 1992
20.0%
o 996
10.0%
t 996
10.0%
v 996
10.0%
i 996
10.0%
b 996
10.0%
e 996
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 996
50.0%
A 996
50.0%
Space Separator
ValueCountFrequency (%)
996
100.0%
Decimal Number
ValueCountFrequency (%)
0 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11952
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1992
16.7%
l 1992
16.7%
N 996
8.3%
o 996
8.3%
t 996
8.3%
A 996
8.3%
v 996
8.3%
i 996
8.3%
b 996
8.3%
e 996
8.3%
Common
ValueCountFrequency (%)
996
99.6%
0 4
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12952
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1992
15.4%
l 1992
15.4%
N 996
7.7%
o 996
7.7%
t 996
7.7%
996
7.7%
A 996
7.7%
v 996
7.7%
i 996
7.7%
b 996
7.7%
Other values (2) 1000
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:54:45.208577image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.952
Min length1

Characters and Unicode

Total characters12952
Distinct characters12
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 996
49.9%
available 996
49.9%
0 4
 
0.2%
2023-12-09T20:54:47.349429image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1992
15.4%
l 1992
15.4%
N 996
7.7%
o 996
7.7%
t 996
7.7%
996
7.7%
A 996
7.7%
v 996
7.7%
i 996
7.7%
b 996
7.7%
Other values (2) 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9960
76.9%
Uppercase Letter 1992
 
15.4%
Space Separator 996
 
7.7%
Decimal Number 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1992
20.0%
l 1992
20.0%
o 996
10.0%
t 996
10.0%
v 996
10.0%
i 996
10.0%
b 996
10.0%
e 996
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 996
50.0%
A 996
50.0%
Space Separator
ValueCountFrequency (%)
996
100.0%
Decimal Number
ValueCountFrequency (%)
0 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11952
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1992
16.7%
l 1992
16.7%
N 996
8.3%
o 996
8.3%
t 996
8.3%
A 996
8.3%
v 996
8.3%
i 996
8.3%
b 996
8.3%
e 996
8.3%
Common
ValueCountFrequency (%)
996
99.6%
0 4
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12952
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1992
15.4%
l 1992
15.4%
N 996
7.7%
o 996
7.7%
t 996
7.7%
996
7.7%
A 996
7.7%
v 996
7.7%
i 996
7.7%
b 996
7.7%
Other values (2) 1000
7.7%
Distinct26
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T20:54:47.560309image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.7
Min length1

Characters and Unicode

Total characters12700
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)2.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th row33
5th rowNot Available
ValueCountFrequency (%)
not 971
49.3%
available 971
49.3%
15 2
 
0.1%
3 2
 
0.1%
2 2
 
0.1%
5 2
 
0.1%
46.22 1
 
0.1%
9.17 1
 
0.1%
120 1
 
0.1%
40 1
 
0.1%
Other values (17) 17
 
0.9%
2023-12-09T20:54:47.904889image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1942
15.3%
a 1942
15.3%
o 971
7.6%
e 971
7.6%
b 971
7.6%
i 971
7.6%
N 971
7.6%
v 971
7.6%
A 971
7.6%
971
7.6%
Other values (12) 1048
8.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9710
76.5%
Uppercase Letter 1942
 
15.3%
Space Separator 971
 
7.6%
Decimal Number 67
 
0.5%
Other Punctuation 10
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 9
13.4%
2 9
13.4%
0 9
13.4%
4 9
13.4%
5 8
11.9%
1 7
10.4%
8 5
7.5%
7 4
6.0%
6 4
6.0%
9 3
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
l 1942
20.0%
a 1942
20.0%
o 971
10.0%
e 971
10.0%
b 971
10.0%
i 971
10.0%
v 971
10.0%
t 971
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 971
50.0%
A 971
50.0%
Space Separator
ValueCountFrequency (%)
971
100.0%
Other Punctuation
ValueCountFrequency (%)
. 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11652
91.7%
Common 1048
 
8.3%

Most frequent character per script

Common
ValueCountFrequency (%)
971
92.7%
. 10
 
1.0%
3 9
 
0.9%
2 9
 
0.9%
0 9
 
0.9%
4 9
 
0.9%
5 8
 
0.8%
1 7
 
0.7%
8 5
 
0.5%
7 4
 
0.4%
Other values (2) 7
 
0.7%
Latin
ValueCountFrequency (%)
l 1942
16.7%
a 1942
16.7%
o 971
8.3%
e 971
8.3%
b 971
8.3%
i 971
8.3%
N 971
8.3%
v 971
8.3%
A 971
8.3%
t 971
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12700
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1942
15.3%
a 1942
15.3%
o 971
7.6%
e 971
7.6%
b 971
7.6%
i 971
7.6%
N 971
7.6%
v 971
7.6%
A 971
7.6%
971
7.6%
Other values (12) 1048
8.3%
Distinct7
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T20:54:48.096218image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.705
Min length1

Characters and Unicode

Total characters12705
Distinct characters18
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th row100
5th rowNot Available
ValueCountFrequency (%)
not 971
49.3%
available 971
49.3%
100 22
 
1.1%
90 3
 
0.2%
40 1
 
0.1%
0 1
 
0.1%
80.85 1
 
0.1%
80 1
 
0.1%
2023-12-09T20:54:48.393702image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1942
15.3%
l 1942
15.3%
N 971
7.6%
e 971
7.6%
o 971
7.6%
i 971
7.6%
b 971
7.6%
v 971
7.6%
A 971
7.6%
971
7.6%
Other values (8) 1053
8.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9710
76.4%
Uppercase Letter 1942
 
15.3%
Space Separator 971
 
7.6%
Decimal Number 81
 
0.6%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1942
20.0%
l 1942
20.0%
e 971
10.0%
o 971
10.0%
i 971
10.0%
b 971
10.0%
v 971
10.0%
t 971
10.0%
Decimal Number
ValueCountFrequency (%)
0 51
63.0%
1 22
27.2%
9 3
 
3.7%
8 3
 
3.7%
4 1
 
1.2%
5 1
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
N 971
50.0%
A 971
50.0%
Space Separator
ValueCountFrequency (%)
971
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11652
91.7%
Common 1053
 
8.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1942
16.7%
l 1942
16.7%
N 971
8.3%
e 971
8.3%
o 971
8.3%
i 971
8.3%
b 971
8.3%
v 971
8.3%
A 971
8.3%
t 971
8.3%
Common
ValueCountFrequency (%)
971
92.2%
0 51
 
4.8%
1 22
 
2.1%
9 3
 
0.3%
8 3
 
0.3%
4 1
 
0.1%
. 1
 
0.1%
5 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12705
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1942
15.3%
l 1942
15.3%
N 971
7.6%
e 971
7.6%
o 971
7.6%
i 971
7.6%
b 971
7.6%
v 971
7.6%
A 971
7.6%
971
7.6%
Other values (8) 1053
8.3%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T20:54:48.565502image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.707
Min length2

Characters and Unicode

Total characters12707
Distinct characters18
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th row100
5th rowNot Available
ValueCountFrequency (%)
not 971
49.3%
available 971
49.3%
100 23
 
1.2%
90 4
 
0.2%
40 1
 
0.1%
80.85 1
 
0.1%
2023-12-09T20:54:48.854756image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1942
15.3%
l 1942
15.3%
N 971
7.6%
e 971
7.6%
o 971
7.6%
i 971
7.6%
b 971
7.6%
v 971
7.6%
A 971
7.6%
971
7.6%
Other values (8) 1055
8.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9710
76.4%
Uppercase Letter 1942
 
15.3%
Space Separator 971
 
7.6%
Decimal Number 83
 
0.7%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1942
20.0%
l 1942
20.0%
e 971
10.0%
o 971
10.0%
i 971
10.0%
b 971
10.0%
v 971
10.0%
t 971
10.0%
Decimal Number
ValueCountFrequency (%)
0 52
62.7%
1 23
27.7%
9 4
 
4.8%
8 2
 
2.4%
4 1
 
1.2%
5 1
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
N 971
50.0%
A 971
50.0%
Space Separator
ValueCountFrequency (%)
971
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11652
91.7%
Common 1055
 
8.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1942
16.7%
l 1942
16.7%
N 971
8.3%
e 971
8.3%
o 971
8.3%
i 971
8.3%
b 971
8.3%
v 971
8.3%
A 971
8.3%
t 971
8.3%
Common
ValueCountFrequency (%)
971
92.0%
0 52
 
4.9%
1 23
 
2.2%
9 4
 
0.4%
8 2
 
0.2%
4 1
 
0.1%
. 1
 
0.1%
5 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12707
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1942
15.3%
l 1942
15.3%
N 971
7.6%
e 971
7.6%
o 971
7.6%
i 971
7.6%
b 971
7.6%
v 971
7.6%
A 971
7.6%
971
7.6%
Other values (8) 1055
8.3%
Distinct15
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T20:54:49.041413image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.692
Min length2

Characters and Unicode

Total characters12692
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)1.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th row65
5th rowNot Available
ValueCountFrequency (%)
not 971
49.3%
available 971
49.3%
65 12
 
0.6%
40 4
 
0.2%
55 2
 
0.1%
50 1
 
0.1%
70 1
 
0.1%
52.5 1
 
0.1%
48 1
 
0.1%
54 1
 
0.1%
Other values (6) 6
 
0.3%
2023-12-09T20:54:49.348668image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1942
15.3%
l 1942
15.3%
N 971
7.7%
t 971
7.7%
971
7.7%
A 971
7.7%
v 971
7.7%
i 971
7.7%
b 971
7.7%
e 971
7.7%
Other values (12) 1040
8.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9710
76.5%
Uppercase Letter 1942
 
15.3%
Space Separator 971
 
7.7%
Decimal Number 65
 
0.5%
Other Punctuation 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 20
30.8%
6 16
24.6%
4 9
13.8%
0 9
13.8%
1 3
 
4.6%
9 3
 
4.6%
8 2
 
3.1%
7 1
 
1.5%
2 1
 
1.5%
3 1
 
1.5%
Lowercase Letter
ValueCountFrequency (%)
a 1942
20.0%
l 1942
20.0%
t 971
10.0%
v 971
10.0%
i 971
10.0%
b 971
10.0%
e 971
10.0%
o 971
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 971
50.0%
A 971
50.0%
Space Separator
ValueCountFrequency (%)
971
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11652
91.8%
Common 1040
 
8.2%

Most frequent character per script

Common
ValueCountFrequency (%)
971
93.4%
5 20
 
1.9%
6 16
 
1.5%
4 9
 
0.9%
0 9
 
0.9%
. 4
 
0.4%
1 3
 
0.3%
9 3
 
0.3%
8 2
 
0.2%
7 1
 
0.1%
Other values (2) 2
 
0.2%
Latin
ValueCountFrequency (%)
a 1942
16.7%
l 1942
16.7%
N 971
8.3%
t 971
8.3%
A 971
8.3%
v 971
8.3%
i 971
8.3%
b 971
8.3%
e 971
8.3%
o 971
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12692
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1942
15.3%
l 1942
15.3%
N 971
7.7%
t 971
7.7%
971
7.7%
A 971
7.7%
v 971
7.7%
i 971
7.7%
b 971
7.7%
e 971
7.7%
Other values (12) 1040
8.2%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:54:49.517066image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.984
Min length4

Characters and Unicode

Total characters12984
Distinct characters16
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
142101 1
 
0.1%
2030 1
 
0.1%
2023-12-09T20:54:49.793461image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
o 998
7.7%
t 998
7.7%
998
7.7%
A 998
7.7%
v 998
7.7%
i 998
7.7%
b 998
7.7%
Other values (6) 1008
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.9%
Uppercase Letter 1996
 
15.4%
Space Separator 998
 
7.7%
Decimal Number 10
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1996
20.0%
l 1996
20.0%
o 998
10.0%
t 998
10.0%
v 998
10.0%
i 998
10.0%
b 998
10.0%
e 998
10.0%
Decimal Number
ValueCountFrequency (%)
1 3
30.0%
0 3
30.0%
2 2
20.0%
4 1
 
10.0%
3 1
 
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 998
50.0%
A 998
50.0%
Space Separator
ValueCountFrequency (%)
998
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11976
92.2%
Common 1008
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1996
16.7%
l 1996
16.7%
N 998
8.3%
o 998
8.3%
t 998
8.3%
A 998
8.3%
v 998
8.3%
i 998
8.3%
b 998
8.3%
e 998
8.3%
Common
ValueCountFrequency (%)
998
99.0%
1 3
 
0.3%
0 3
 
0.3%
2 2
 
0.2%
4 1
 
0.1%
3 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12984
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
o 998
7.7%
t 998
7.7%
998
7.7%
A 998
7.7%
v 998
7.7%
i 998
7.7%
b 998
7.7%
Other values (6) 1008
7.8%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:54:49.964205image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.993
Min length6

Characters and Unicode

Total characters12993
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
105518 1
 
0.1%
2023-12-09T20:54:50.253951image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (5) 1005
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 6
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1998
20.0%
l 1998
20.0%
o 999
10.0%
t 999
10.0%
v 999
10.0%
i 999
10.0%
b 999
10.0%
e 999
10.0%
Decimal Number
ValueCountFrequency (%)
1 2
33.3%
5 2
33.3%
0 1
16.7%
8 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Space Separator
ValueCountFrequency (%)
999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.3%
Common 1005
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1998
16.7%
l 1998
16.7%
N 999
8.3%
o 999
8.3%
t 999
8.3%
A 999
8.3%
v 999
8.3%
i 999
8.3%
b 999
8.3%
e 999
8.3%
Common
ValueCountFrequency (%)
999
99.4%
1 2
 
0.2%
5 2
 
0.2%
0 1
 
0.1%
8 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12993
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (5) 1005
7.7%
Distinct14
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:54:50.445718image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.899
Min length5

Characters and Unicode

Total characters12899
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)1.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 987
49.7%
available 987
49.7%
70000 1
 
0.1%
110000 1
 
0.1%
186000 1
 
0.1%
65792 1
 
0.1%
273124 1
 
0.1%
50105 1
 
0.1%
53052 1
 
0.1%
46300 1
 
0.1%
Other values (5) 5
 
0.3%
2023-12-09T20:54:50.773875image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1974
15.3%
l 1974
15.3%
N 987
7.7%
o 987
7.7%
b 987
7.7%
i 987
7.7%
e 987
7.7%
v 987
7.7%
A 987
7.7%
987
7.7%
Other values (11) 1055
8.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9870
76.5%
Uppercase Letter 1974
 
15.3%
Space Separator 987
 
7.7%
Decimal Number 68
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 22
32.4%
1 8
 
11.8%
5 8
 
11.8%
7 7
 
10.3%
2 7
 
10.3%
6 5
 
7.4%
3 4
 
5.9%
4 3
 
4.4%
8 2
 
2.9%
9 2
 
2.9%
Lowercase Letter
ValueCountFrequency (%)
a 1974
20.0%
l 1974
20.0%
o 987
10.0%
b 987
10.0%
i 987
10.0%
e 987
10.0%
v 987
10.0%
t 987
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 987
50.0%
A 987
50.0%
Space Separator
ValueCountFrequency (%)
987
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11844
91.8%
Common 1055
 
8.2%

Most frequent character per script

Common
ValueCountFrequency (%)
987
93.6%
0 22
 
2.1%
1 8
 
0.8%
5 8
 
0.8%
7 7
 
0.7%
2 7
 
0.7%
6 5
 
0.5%
3 4
 
0.4%
4 3
 
0.3%
8 2
 
0.2%
Latin
ValueCountFrequency (%)
a 1974
16.7%
l 1974
16.7%
N 987
8.3%
o 987
8.3%
b 987
8.3%
i 987
8.3%
e 987
8.3%
v 987
8.3%
A 987
8.3%
t 987
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12899
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1974
15.3%
l 1974
15.3%
N 987
7.7%
o 987
7.7%
b 987
7.7%
i 987
7.7%
e 987
7.7%
v 987
7.7%
A 987
7.7%
987
7.7%
Other values (11) 1055
8.2%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:54:50.950757image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:54:51.239625image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:54:51.410923image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:54:51.688016image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:54:51.858078image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:54:52.132362image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:54:52.304523image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.975
Min length4

Characters and Unicode

Total characters12975
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 997
49.9%
available 997
49.9%
50000 1
 
0.1%
63000 1
 
0.1%
1900 1
 
0.1%
2023-12-09T20:54:52.587807image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1994
15.4%
a 1994
15.4%
e 997
7.7%
b 997
7.7%
o 997
7.7%
i 997
7.7%
N 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (7) 1011
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9970
76.8%
Uppercase Letter 1994
 
15.4%
Space Separator 997
 
7.7%
Decimal Number 14
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1994
20.0%
a 1994
20.0%
e 997
10.0%
b 997
10.0%
o 997
10.0%
i 997
10.0%
v 997
10.0%
t 997
10.0%
Decimal Number
ValueCountFrequency (%)
0 9
64.3%
5 1
 
7.1%
6 1
 
7.1%
3 1
 
7.1%
1 1
 
7.1%
9 1
 
7.1%
Uppercase Letter
ValueCountFrequency (%)
N 997
50.0%
A 997
50.0%
Space Separator
ValueCountFrequency (%)
997
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11964
92.2%
Common 1011
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1994
16.7%
a 1994
16.7%
e 997
8.3%
b 997
8.3%
o 997
8.3%
i 997
8.3%
N 997
8.3%
v 997
8.3%
A 997
8.3%
t 997
8.3%
Common
ValueCountFrequency (%)
997
98.6%
0 9
 
0.9%
5 1
 
0.1%
6 1
 
0.1%
3 1
 
0.1%
1 1
 
0.1%
9 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12975
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1994
15.4%
a 1994
15.4%
e 997
7.7%
b 997
7.7%
o 997
7.7%
i 997
7.7%
N 997
7.7%
v 997
7.7%
A 997
7.7%
997
7.7%
Other values (7) 1011
7.8%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:54:52.756565image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.991
Min length4

Characters and Unicode

Total characters12991
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
7000 1
 
0.1%
2023-12-09T20:54:53.033465image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (3) 1003
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1998
20.0%
l 1998
20.0%
o 999
10.0%
t 999
10.0%
v 999
10.0%
i 999
10.0%
b 999
10.0%
e 999
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Decimal Number
ValueCountFrequency (%)
0 3
75.0%
7 1
 
25.0%
Space Separator
ValueCountFrequency (%)
999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.3%
Common 1003
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1998
16.7%
l 1998
16.7%
N 999
8.3%
o 999
8.3%
t 999
8.3%
A 999
8.3%
v 999
8.3%
i 999
8.3%
b 999
8.3%
e 999
8.3%
Common
ValueCountFrequency (%)
999
99.6%
0 3
 
0.3%
7 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12991
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (3) 1003
7.7%
Distinct632
Distinct (%)63.2%
Missing0
Missing (%)0.0%
Memory size63.0 KiB
2023-12-09T20:54:53.533279image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length8
Mean length7.431
Min length2

Characters and Unicode

Total characters7431
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique592 ?
Unique (%)59.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th row950000
5th row423246
ValueCountFrequency (%)
not 276
21.6%
available 276
21.6%
70000 32
 
2.5%
387600 7
 
0.5%
35000 6
 
0.5%
66000 4
 
0.3%
17500 4
 
0.3%
50000 4
 
0.3%
80000 4
 
0.3%
77000 4
 
0.3%
Other values (623) 659
51.6%
2023-12-09T20:54:54.177897image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 957
 
12.9%
a 552
 
7.4%
l 552
 
7.4%
5 402
 
5.4%
1 385
 
5.2%
6 353
 
4.8%
7 329
 
4.4%
8 318
 
4.3%
2 312
 
4.2%
4 290
 
3.9%
Other values (12) 2981
40.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3842
51.7%
Lowercase Letter 2760
37.1%
Uppercase Letter 552
 
7.4%
Space Separator 276
 
3.7%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 957
24.9%
5 402
10.5%
1 385
10.0%
6 353
 
9.2%
7 329
 
8.6%
8 318
 
8.3%
2 312
 
8.1%
4 290
 
7.5%
3 266
 
6.9%
9 230
 
6.0%
Lowercase Letter
ValueCountFrequency (%)
a 552
20.0%
l 552
20.0%
o 276
10.0%
e 276
10.0%
b 276
10.0%
i 276
10.0%
v 276
10.0%
t 276
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 276
50.0%
A 276
50.0%
Space Separator
ValueCountFrequency (%)
276
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4119
55.4%
Latin 3312
44.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 957
23.2%
5 402
9.8%
1 385
9.3%
6 353
 
8.6%
7 329
 
8.0%
8 318
 
7.7%
2 312
 
7.6%
4 290
 
7.0%
276
 
6.7%
3 266
 
6.5%
Other values (2) 231
 
5.6%
Latin
ValueCountFrequency (%)
a 552
16.7%
l 552
16.7%
o 276
8.3%
N 276
8.3%
e 276
8.3%
b 276
8.3%
i 276
8.3%
v 276
8.3%
A 276
8.3%
t 276
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7431
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 957
 
12.9%
a 552
 
7.4%
l 552
 
7.4%
5 402
 
5.4%
1 385
 
5.2%
6 353
 
4.8%
7 329
 
4.4%
8 318
 
4.3%
2 312
 
4.2%
4 290
 
3.9%
Other values (12) 2981
40.1%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size62.8 KiB
2023-12-09T20:54:54.370961image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length8
Mean length7.18
Min length2

Characters and Unicode

Total characters7180
Distinct characters16
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNo
5th rowNo
ValueCountFrequency (%)
no 485
32.0%
not 418
27.6%
available 418
27.6%
100 97
 
6.4%
yes 97
 
6.4%
2023-12-09T20:54:54.656731image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 903
12.6%
o 903
12.6%
a 836
11.6%
l 836
11.6%
515
7.2%
e 515
7.2%
t 418
5.8%
A 418
5.8%
v 418
5.8%
i 418
5.8%
Other values (6) 1000
13.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4859
67.7%
Uppercase Letter 1418
 
19.7%
Space Separator 515
 
7.2%
Decimal Number 291
 
4.1%
Other Punctuation 97
 
1.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 903
18.6%
a 836
17.2%
l 836
17.2%
e 515
10.6%
t 418
8.6%
v 418
8.6%
i 418
8.6%
b 418
8.6%
s 97
 
2.0%
Uppercase Letter
ValueCountFrequency (%)
N 903
63.7%
A 418
29.5%
Y 97
 
6.8%
Decimal Number
ValueCountFrequency (%)
0 194
66.7%
1 97
33.3%
Space Separator
ValueCountFrequency (%)
515
100.0%
Other Punctuation
ValueCountFrequency (%)
% 97
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6277
87.4%
Common 903
 
12.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 903
14.4%
o 903
14.4%
a 836
13.3%
l 836
13.3%
e 515
8.2%
t 418
6.7%
A 418
6.7%
v 418
6.7%
i 418
6.7%
b 418
6.7%
Other values (2) 194
 
3.1%
Common
ValueCountFrequency (%)
515
57.0%
0 194
 
21.5%
1 97
 
10.7%
% 97
 
10.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7180
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 903
12.6%
o 903
12.6%
a 836
11.6%
l 836
11.6%
515
7.2%
e 515
7.2%
t 418
5.8%
A 418
5.8%
v 418
5.8%
i 418
5.8%
Other values (6) 1000
13.9%
Distinct351
Distinct (%)35.1%
Missing0
Missing (%)0.0%
Memory size61.5 KiB
2023-12-09T20:54:55.140960image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length6
Mean length5.81
Min length1

Characters and Unicode

Total characters5810
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique233 ?
Unique (%)23.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th row1035
5th row647
ValueCountFrequency (%)
not 276
21.6%
available 276
21.6%
100 18
 
1.4%
96 12
 
0.9%
144 11
 
0.9%
80 11
 
0.9%
84 10
 
0.8%
75 10
 
0.8%
142 10
 
0.8%
72 10
 
0.8%
Other values (342) 632
49.5%
2023-12-09T20:54:55.761497image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 552
 
9.5%
a 552
 
9.5%
1 447
 
7.7%
i 276
 
4.8%
o 276
 
4.8%
e 276
 
4.8%
b 276
 
4.8%
N 276
 
4.8%
v 276
 
4.8%
A 276
 
4.8%
Other values (12) 2327
40.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2760
47.5%
Decimal Number 2098
36.1%
Uppercase Letter 552
 
9.5%
Space Separator 276
 
4.8%
Other Punctuation 124
 
2.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 447
21.3%
2 232
11.1%
0 224
10.7%
7 182
8.7%
4 180
8.6%
8 179
8.5%
6 178
 
8.5%
5 175
 
8.3%
9 163
 
7.8%
3 138
 
6.6%
Lowercase Letter
ValueCountFrequency (%)
l 552
20.0%
a 552
20.0%
i 276
10.0%
o 276
10.0%
e 276
10.0%
b 276
10.0%
v 276
10.0%
t 276
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 276
50.0%
A 276
50.0%
Space Separator
ValueCountFrequency (%)
276
100.0%
Other Punctuation
ValueCountFrequency (%)
. 124
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3312
57.0%
Common 2498
43.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 447
17.9%
276
11.0%
2 232
9.3%
0 224
9.0%
7 182
7.3%
4 180
7.2%
8 179
7.2%
6 178
 
7.1%
5 175
 
7.0%
9 163
 
6.5%
Other values (2) 262
10.5%
Latin
ValueCountFrequency (%)
l 552
16.7%
a 552
16.7%
i 276
8.3%
o 276
8.3%
e 276
8.3%
b 276
8.3%
N 276
8.3%
v 276
8.3%
A 276
8.3%
t 276
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5810
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 552
 
9.5%
a 552
 
9.5%
1 447
 
7.7%
i 276
 
4.8%
o 276
 
4.8%
e 276
 
4.8%
b 276
 
4.8%
N 276
 
4.8%
v 276
 
4.8%
A 276
 
4.8%
Other values (12) 2327
40.1%
Distinct93
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Memory size61.8 KiB
2023-12-09T20:54:56.082821image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length3
Mean length6.165
Min length1

Characters and Unicode

Total characters6165
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)4.9%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th row360
5th row0
ValueCountFrequency (%)
not 416
29.4%
available 416
29.4%
0 391
27.6%
4 7
 
0.5%
5 7
 
0.5%
10 7
 
0.5%
20 7
 
0.5%
6 6
 
0.4%
16 5
 
0.4%
2 5
 
0.4%
Other values (84) 149
 
10.5%
2023-12-09T20:54:56.517453image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 832
13.5%
a 832
13.5%
0 419
 
6.8%
N 416
 
6.7%
i 416
 
6.7%
o 416
 
6.7%
b 416
 
6.7%
e 416
 
6.7%
v 416
 
6.7%
A 416
 
6.7%
Other values (11) 1170
19.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4160
67.5%
Uppercase Letter 832
 
13.5%
Decimal Number 757
 
12.3%
Space Separator 416
 
6.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 419
55.4%
2 58
 
7.7%
1 48
 
6.3%
3 42
 
5.5%
5 38
 
5.0%
6 36
 
4.8%
7 33
 
4.4%
8 32
 
4.2%
4 31
 
4.1%
9 20
 
2.6%
Lowercase Letter
ValueCountFrequency (%)
l 832
20.0%
a 832
20.0%
i 416
10.0%
o 416
10.0%
b 416
10.0%
e 416
10.0%
v 416
10.0%
t 416
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 416
50.0%
A 416
50.0%
Space Separator
ValueCountFrequency (%)
416
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4992
81.0%
Common 1173
 
19.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 419
35.7%
416
35.5%
2 58
 
4.9%
1 48
 
4.1%
3 42
 
3.6%
5 38
 
3.2%
6 36
 
3.1%
7 33
 
2.8%
8 32
 
2.7%
4 31
 
2.6%
Latin
ValueCountFrequency (%)
l 832
16.7%
a 832
16.7%
N 416
8.3%
i 416
8.3%
o 416
8.3%
b 416
8.3%
e 416
8.3%
v 416
8.3%
A 416
8.3%
t 416
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6165
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 832
13.5%
a 832
13.5%
0 419
 
6.8%
N 416
 
6.7%
i 416
 
6.7%
o 416
 
6.7%
b 416
 
6.7%
e 416
 
6.7%
v 416
 
6.7%
A 416
 
6.7%
Other values (11) 1170
19.0%
Distinct45
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size61.7 KiB
2023-12-09T20:54:56.755938image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length3
Mean length6.051
Min length1

Characters and Unicode

Total characters6051
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)1.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th row0
5th row38
ValueCountFrequency (%)
not 410
29.1%
available 410
29.1%
0 198
14.0%
4 45
 
3.2%
3 45
 
3.2%
8 43
 
3.0%
6 42
 
3.0%
10 34
 
2.4%
5 33
 
2.3%
2 19
 
1.3%
Other values (36) 131
 
9.3%
2023-12-09T20:54:57.109437image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 820
13.6%
l 820
13.6%
N 410
 
6.8%
o 410
 
6.8%
b 410
 
6.8%
i 410
 
6.8%
e 410
 
6.8%
v 410
 
6.8%
A 410
 
6.8%
410
 
6.8%
Other values (11) 1131
18.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4100
67.8%
Uppercase Letter 820
 
13.6%
Decimal Number 721
 
11.9%
Space Separator 410
 
6.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 251
34.8%
1 101
14.0%
2 66
 
9.2%
4 58
 
8.0%
3 58
 
8.0%
6 55
 
7.6%
8 50
 
6.9%
5 43
 
6.0%
7 23
 
3.2%
9 16
 
2.2%
Lowercase Letter
ValueCountFrequency (%)
a 820
20.0%
l 820
20.0%
o 410
10.0%
b 410
10.0%
i 410
10.0%
e 410
10.0%
v 410
10.0%
t 410
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 410
50.0%
A 410
50.0%
Space Separator
ValueCountFrequency (%)
410
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4920
81.3%
Common 1131
 
18.7%

Most frequent character per script

Common
ValueCountFrequency (%)
410
36.3%
0 251
22.2%
1 101
 
8.9%
2 66
 
5.8%
4 58
 
5.1%
3 58
 
5.1%
6 55
 
4.9%
8 50
 
4.4%
5 43
 
3.8%
7 23
 
2.0%
Latin
ValueCountFrequency (%)
a 820
16.7%
l 820
16.7%
N 410
8.3%
o 410
8.3%
b 410
8.3%
i 410
8.3%
e 410
8.3%
v 410
8.3%
A 410
8.3%
t 410
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6051
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 820
13.6%
l 820
13.6%
N 410
 
6.8%
o 410
 
6.8%
b 410
 
6.8%
i 410
 
6.8%
e 410
 
6.8%
v 410
 
6.8%
A 410
 
6.8%
410
 
6.8%
Other values (11) 1131
18.7%
Distinct290
Distinct (%)29.0%
Missing0
Missing (%)0.0%
Memory size61.1 KiB
2023-12-09T20:54:57.589284image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length6
Mean length5.465
Min length1

Characters and Unicode

Total characters5465
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique188 ?
Unique (%)18.8%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th row360
5th row373
ValueCountFrequency (%)
not 276
21.6%
available 276
21.6%
60 25
 
2.0%
72 20
 
1.6%
84 15
 
1.2%
73 15
 
1.2%
77 14
 
1.1%
74 14
 
1.1%
56 11
 
0.9%
52 11
 
0.9%
Other values (281) 599
46.9%
2023-12-09T20:54:58.205180image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 552
 
10.1%
l 552
 
10.1%
N 276
 
5.1%
t 276
 
5.1%
276
 
5.1%
A 276
 
5.1%
v 276
 
5.1%
i 276
 
5.1%
b 276
 
5.1%
e 276
 
5.1%
Other values (12) 2153
39.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2760
50.5%
Decimal Number 1800
32.9%
Uppercase Letter 552
 
10.1%
Space Separator 276
 
5.1%
Other Punctuation 77
 
1.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 237
13.2%
6 227
12.6%
7 200
11.1%
2 189
10.5%
8 181
10.1%
4 176
9.8%
5 162
9.0%
3 154
8.6%
0 145
8.1%
9 129
7.2%
Lowercase Letter
ValueCountFrequency (%)
a 552
20.0%
l 552
20.0%
t 276
10.0%
v 276
10.0%
i 276
10.0%
b 276
10.0%
e 276
10.0%
o 276
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 276
50.0%
A 276
50.0%
Space Separator
ValueCountFrequency (%)
276
100.0%
Other Punctuation
ValueCountFrequency (%)
. 77
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3312
60.6%
Common 2153
39.4%

Most frequent character per script

Common
ValueCountFrequency (%)
276
12.8%
1 237
11.0%
6 227
10.5%
7 200
9.3%
2 189
8.8%
8 181
8.4%
4 176
8.2%
5 162
7.5%
3 154
7.2%
0 145
6.7%
Other values (2) 206
9.6%
Latin
ValueCountFrequency (%)
a 552
16.7%
l 552
16.7%
N 276
8.3%
t 276
8.3%
A 276
8.3%
v 276
8.3%
i 276
8.3%
b 276
8.3%
e 276
8.3%
o 276
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5465
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 552
 
10.1%
l 552
 
10.1%
N 276
 
5.1%
t 276
 
5.1%
276
 
5.1%
A 276
 
5.1%
v 276
 
5.1%
i 276
 
5.1%
b 276
 
5.1%
e 276
 
5.1%
Other values (12) 2153
39.4%
Distinct11
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size60.7 KiB
2023-12-09T20:54:58.399664image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length3
Mean length5.063
Min length1

Characters and Unicode

Total characters5063
Distinct characters20
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th row0
5th row0
ValueCountFrequency (%)
0 359
27.7%
not 296
22.8%
available 296
22.8%
100 166
12.8%
90 73
 
5.6%
80 51
 
3.9%
10 25
 
1.9%
50 14
 
1.1%
70 8
 
0.6%
20 4
 
0.3%
Other values (2) 4
 
0.3%
2023-12-09T20:54:58.713082image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 870
17.2%
a 592
11.7%
l 592
11.7%
e 296
 
5.8%
N 296
 
5.8%
i 296
 
5.8%
b 296
 
5.8%
v 296
 
5.8%
A 296
 
5.8%
296
 
5.8%
Other values (10) 937
18.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2960
58.5%
Decimal Number 1215
24.0%
Uppercase Letter 592
 
11.7%
Space Separator 296
 
5.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 870
71.6%
1 191
 
15.7%
9 73
 
6.0%
8 51
 
4.2%
5 14
 
1.2%
7 8
 
0.7%
2 4
 
0.3%
6 3
 
0.2%
3 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
a 592
20.0%
l 592
20.0%
e 296
10.0%
i 296
10.0%
b 296
10.0%
v 296
10.0%
t 296
10.0%
o 296
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 296
50.0%
A 296
50.0%
Space Separator
ValueCountFrequency (%)
296
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3552
70.2%
Common 1511
29.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 870
57.6%
296
 
19.6%
1 191
 
12.6%
9 73
 
4.8%
8 51
 
3.4%
5 14
 
0.9%
7 8
 
0.5%
2 4
 
0.3%
6 3
 
0.2%
3 1
 
0.1%
Latin
ValueCountFrequency (%)
a 592
16.7%
l 592
16.7%
e 296
8.3%
N 296
8.3%
i 296
8.3%
b 296
8.3%
v 296
8.3%
A 296
8.3%
t 296
8.3%
o 296
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5063
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 870
17.2%
a 592
11.7%
l 592
11.7%
e 296
 
5.8%
N 296
 
5.8%
i 296
 
5.8%
b 296
 
5.8%
v 296
 
5.8%
A 296
 
5.8%
296
 
5.8%
Other values (10) 937
18.5%
Distinct9
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size61.3 KiB
2023-12-09T20:54:58.876777image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length3
Mean length5.676
Min length1

Characters and Unicode

Total characters5676
Distinct characters18
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th row100
5th row100
ValueCountFrequency (%)
100 483
37.4%
not 292
22.6%
available 292
22.6%
90 162
 
12.5%
80 30
 
2.3%
0 19
 
1.5%
50 4
 
0.3%
10 4
 
0.3%
20 4
 
0.3%
70 2
 
0.2%
2023-12-09T20:54:59.163363image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1191
21.0%
l 584
10.3%
a 584
10.3%
1 487
8.6%
v 292
 
5.1%
e 292
 
5.1%
b 292
 
5.1%
i 292
 
5.1%
A 292
 
5.1%
292
 
5.1%
Other values (8) 1078
19.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2920
51.4%
Decimal Number 1880
33.1%
Uppercase Letter 584
 
10.3%
Space Separator 292
 
5.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 584
20.0%
a 584
20.0%
v 292
10.0%
e 292
10.0%
b 292
10.0%
i 292
10.0%
t 292
10.0%
o 292
10.0%
Decimal Number
ValueCountFrequency (%)
0 1191
63.4%
1 487
25.9%
9 162
 
8.6%
8 30
 
1.6%
5 4
 
0.2%
2 4
 
0.2%
7 2
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
A 292
50.0%
N 292
50.0%
Space Separator
ValueCountFrequency (%)
292
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3504
61.7%
Common 2172
38.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 584
16.7%
a 584
16.7%
v 292
8.3%
e 292
8.3%
b 292
8.3%
i 292
8.3%
A 292
8.3%
t 292
8.3%
o 292
8.3%
N 292
8.3%
Common
ValueCountFrequency (%)
0 1191
54.8%
1 487
22.4%
292
 
13.4%
9 162
 
7.5%
8 30
 
1.4%
5 4
 
0.2%
2 4
 
0.2%
7 2
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5676
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1191
21.0%
l 584
10.3%
a 584
10.3%
1 487
8.6%
v 292
 
5.1%
e 292
 
5.1%
b 292
 
5.1%
i 292
 
5.1%
A 292
 
5.1%
292
 
5.1%
Other values (8) 1078
19.0%
Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size76.5 KiB
2023-12-09T20:54:59.362174image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length35
Median length13
Mean length21.184
Min length13

Characters and Unicode

Total characters21184
Distinct characters27
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNo specific resident population
5th rowNo specific resident population
ValueCountFrequency (%)
not 543
18.7%
available 543
18.7%
no 448
15.4%
specific 448
15.4%
resident 448
15.4%
population 448
15.4%
dedicated 9
 
0.3%
other 5
 
0.2%
housing 5
 
0.2%
senior/independent 3
 
0.1%
Other values (2) 4
 
0.1%
2023-12-09T20:54:59.674536image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 2358
11.1%
e 1923
 
9.1%
1904
 
9.0%
o 1895
 
8.9%
a 1543
 
7.3%
l 1534
 
7.2%
t 1458
 
6.9%
p 1347
 
6.4%
N 991
 
4.7%
n 917
 
4.3%
Other values (17) 5314
25.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 17724
83.7%
Space Separator 1904
 
9.0%
Uppercase Letter 1553
 
7.3%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 2358
13.3%
e 1923
10.8%
o 1895
10.7%
a 1543
8.7%
l 1534
8.7%
t 1458
8.2%
p 1347
7.6%
n 917
 
5.2%
c 905
 
5.1%
s 901
 
5.1%
Other values (8) 2943
16.6%
Uppercase Letter
ValueCountFrequency (%)
N 991
63.8%
A 543
35.0%
O 5
 
0.3%
D 4
 
0.3%
S 4
 
0.3%
I 3
 
0.2%
L 3
 
0.2%
Space Separator
ValueCountFrequency (%)
1904
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 19277
91.0%
Common 1907
 
9.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 2358
12.2%
e 1923
10.0%
o 1895
9.8%
a 1543
 
8.0%
l 1534
 
8.0%
t 1458
 
7.6%
p 1347
 
7.0%
N 991
 
5.1%
n 917
 
4.8%
c 905
 
4.7%
Other values (15) 4406
22.9%
Common
ValueCountFrequency (%)
1904
99.8%
/ 3
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21184
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i 2358
11.1%
e 1923
 
9.1%
1904
 
9.0%
o 1895
 
8.9%
a 1543
 
7.3%
l 1534
 
7.2%
t 1458
 
6.9%
p 1347
 
6.4%
N 991
 
4.7%
n 917
 
4.3%
Other values (17) 5314
25.1%
Distinct548
Distinct (%)54.8%
Missing0
Missing (%)0.0%
Memory size63.6 KiB
2023-12-09T20:55:00.174978image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length7
Mean length8.005
Min length1

Characters and Unicode

Total characters8005
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique532 ?
Unique (%)53.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th row1.08947
5th row1.52866
ValueCountFrequency (%)
not 276
21.6%
available 276
21.6%
1.4 132
 
10.3%
2.02857 12
 
0.9%
2.05714 11
 
0.9%
1.33385 8
 
0.6%
2.12857 5
 
0.4%
2 4
 
0.3%
1.71306 3
 
0.2%
0.94286 3
 
0.2%
Other values (539) 546
42.8%
2023-12-09T20:55:00.823086image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 824
 
10.3%
. 719
 
9.0%
a 552
 
6.9%
l 552
 
6.9%
4 469
 
5.9%
2 371
 
4.6%
0 341
 
4.3%
3 302
 
3.8%
8 292
 
3.6%
5 287
 
3.6%
Other values (12) 3296
41.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3698
46.2%
Lowercase Letter 2760
34.5%
Other Punctuation 719
 
9.0%
Uppercase Letter 552
 
6.9%
Space Separator 276
 
3.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 824
22.3%
4 469
12.7%
2 371
10.0%
0 341
9.2%
3 302
 
8.2%
8 292
 
7.9%
5 287
 
7.8%
6 276
 
7.5%
9 270
 
7.3%
7 266
 
7.2%
Lowercase Letter
ValueCountFrequency (%)
a 552
20.0%
l 552
20.0%
o 276
10.0%
e 276
10.0%
b 276
10.0%
i 276
10.0%
v 276
10.0%
t 276
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 276
50.0%
A 276
50.0%
Other Punctuation
ValueCountFrequency (%)
. 719
100.0%
Space Separator
ValueCountFrequency (%)
276
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4693
58.6%
Latin 3312
41.4%

Most frequent character per script

Common
ValueCountFrequency (%)
1 824
17.6%
. 719
15.3%
4 469
10.0%
2 371
7.9%
0 341
7.3%
3 302
 
6.4%
8 292
 
6.2%
5 287
 
6.1%
6 276
 
5.9%
276
 
5.9%
Other values (2) 536
11.4%
Latin
ValueCountFrequency (%)
a 552
16.7%
l 552
16.7%
N 276
8.3%
o 276
8.3%
e 276
8.3%
b 276
8.3%
i 276
8.3%
v 276
8.3%
A 276
8.3%
t 276
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8005
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 824
 
10.3%
. 719
 
9.0%
a 552
 
6.9%
l 552
 
6.9%
4 469
 
5.9%
2 371
 
4.6%
0 341
 
4.3%
3 302
 
3.8%
8 292
 
3.6%
5 287
 
3.6%
Other values (12) 3296
41.2%
Distinct603
Distinct (%)60.3%
Missing0
Missing (%)0.0%
Memory size63.8 KiB
2023-12-09T20:55:01.333162image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length7
Mean length8.251
Min length1

Characters and Unicode

Total characters8251
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique579 ?
Unique (%)57.9%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th row0.37895
5th row0.88128
ValueCountFrequency (%)
not 276
21.6%
available 276
21.6%
1.2 69
 
5.4%
1.02857 15
 
1.2%
1.04286 9
 
0.7%
0.99587 7
 
0.5%
1.1 5
 
0.4%
1.05714 4
 
0.3%
0.61714 3
 
0.2%
0.6304 3
 
0.2%
Other values (594) 609
47.7%
2023-12-09T20:55:01.971663image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 722
 
8.8%
1 662
 
8.0%
0 649
 
7.9%
a 552
 
6.7%
l 552
 
6.7%
2 390
 
4.7%
8 388
 
4.7%
9 370
 
4.5%
6 316
 
3.8%
7 312
 
3.8%
Other values (12) 3338
40.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3941
47.8%
Lowercase Letter 2760
33.5%
Other Punctuation 722
 
8.8%
Uppercase Letter 552
 
6.7%
Space Separator 276
 
3.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 662
16.8%
0 649
16.5%
2 390
9.9%
8 388
9.8%
9 370
9.4%
6 316
8.0%
7 312
7.9%
5 290
7.4%
4 286
7.3%
3 278
7.1%
Lowercase Letter
ValueCountFrequency (%)
a 552
20.0%
l 552
20.0%
o 276
10.0%
e 276
10.0%
b 276
10.0%
i 276
10.0%
v 276
10.0%
t 276
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 276
50.0%
N 276
50.0%
Other Punctuation
ValueCountFrequency (%)
. 722
100.0%
Space Separator
ValueCountFrequency (%)
276
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4939
59.9%
Latin 3312
40.1%

Most frequent character per script

Common
ValueCountFrequency (%)
. 722
14.6%
1 662
13.4%
0 649
13.1%
2 390
7.9%
8 388
7.9%
9 370
7.5%
6 316
6.4%
7 312
6.3%
5 290
5.9%
4 286
 
5.8%
Other values (2) 554
11.2%
Latin
ValueCountFrequency (%)
a 552
16.7%
l 552
16.7%
o 276
8.3%
e 276
8.3%
b 276
8.3%
i 276
8.3%
v 276
8.3%
A 276
8.3%
t 276
8.3%
N 276
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8251
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 722
 
8.8%
1 662
 
8.0%
0 649
 
7.9%
a 552
 
6.7%
l 552
 
6.7%
2 390
 
4.7%
8 388
 
4.7%
9 370
 
4.5%
6 316
 
3.8%
7 312
 
3.8%
Other values (12) 3338
40.5%
Distinct132
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Memory size60.3 KiB
2023-12-09T20:55:02.352378image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length1
Mean length4.575
Min length1

Characters and Unicode

Total characters4575
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique109 ?
Unique (%)10.9%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th row360
5th row373
ValueCountFrequency (%)
0 565
44.3%
available 276
21.6%
not 276
21.6%
386 7
 
0.5%
49 3
 
0.2%
90 3
 
0.2%
74 3
 
0.2%
252 2
 
0.2%
92 2
 
0.2%
119 2
 
0.2%
Other values (123) 137
 
10.7%
2023-12-09T20:55:02.877732image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 598
13.1%
a 552
12.1%
l 552
12.1%
e 276
 
6.0%
N 276
 
6.0%
i 276
 
6.0%
b 276
 
6.0%
v 276
 
6.0%
A 276
 
6.0%
276
 
6.0%
Other values (11) 941
20.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2760
60.3%
Decimal Number 987
 
21.6%
Uppercase Letter 552
 
12.1%
Space Separator 276
 
6.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 598
60.6%
1 64
 
6.5%
3 55
 
5.6%
2 46
 
4.7%
4 45
 
4.6%
8 39
 
4.0%
9 39
 
4.0%
6 37
 
3.7%
5 34
 
3.4%
7 30
 
3.0%
Lowercase Letter
ValueCountFrequency (%)
a 552
20.0%
l 552
20.0%
e 276
10.0%
i 276
10.0%
b 276
10.0%
v 276
10.0%
t 276
10.0%
o 276
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 276
50.0%
A 276
50.0%
Space Separator
ValueCountFrequency (%)
276
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3312
72.4%
Common 1263
 
27.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 598
47.3%
276
21.9%
1 64
 
5.1%
3 55
 
4.4%
2 46
 
3.6%
4 45
 
3.6%
8 39
 
3.1%
9 39
 
3.1%
6 37
 
2.9%
5 34
 
2.7%
Latin
ValueCountFrequency (%)
a 552
16.7%
l 552
16.7%
e 276
8.3%
N 276
8.3%
i 276
8.3%
b 276
8.3%
v 276
8.3%
A 276
8.3%
t 276
8.3%
o 276
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4575
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 598
13.1%
a 552
12.1%
l 552
12.1%
e 276
 
6.0%
N 276
 
6.0%
i 276
 
6.0%
b 276
 
6.0%
v 276
 
6.0%
A 276
 
6.0%
276
 
6.0%
Other values (11) 941
20.6%
Distinct152
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Memory size60.9 KiB
2023-12-09T20:55:03.286879image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length1
Mean length5.248
Min length1

Characters and Unicode

Total characters5248
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique147 ?
Unique (%)14.7%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th row0.37895
5th row0.88128
ValueCountFrequency (%)
0 565
44.3%
available 276
21.6%
not 276
21.6%
0.99587 7
 
0.5%
0.6304 3
 
0.2%
0.85478 2
 
0.2%
0.91696 1
 
0.1%
1.07008 1
 
0.1%
0.97812 1
 
0.1%
1.11204 1
 
0.1%
Other values (143) 143
 
11.2%
2023-12-09T20:55:03.855273image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 742
14.1%
a 552
 
10.5%
l 552
 
10.5%
N 276
 
5.3%
b 276
 
5.3%
i 276
 
5.3%
e 276
 
5.3%
v 276
 
5.3%
A 276
 
5.3%
276
 
5.3%
Other values (12) 1470
28.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2760
52.6%
Decimal Number 1501
28.6%
Uppercase Letter 552
 
10.5%
Space Separator 276
 
5.3%
Other Punctuation 159
 
3.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 742
49.4%
1 115
 
7.7%
8 103
 
6.9%
9 97
 
6.5%
6 87
 
5.8%
5 82
 
5.5%
7 79
 
5.3%
3 74
 
4.9%
2 70
 
4.7%
4 52
 
3.5%
Lowercase Letter
ValueCountFrequency (%)
a 552
20.0%
l 552
20.0%
b 276
10.0%
i 276
10.0%
e 276
10.0%
v 276
10.0%
t 276
10.0%
o 276
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 276
50.0%
A 276
50.0%
Space Separator
ValueCountFrequency (%)
276
100.0%
Other Punctuation
ValueCountFrequency (%)
. 159
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3312
63.1%
Common 1936
36.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 742
38.3%
276
 
14.3%
. 159
 
8.2%
1 115
 
5.9%
8 103
 
5.3%
9 97
 
5.0%
6 87
 
4.5%
5 82
 
4.2%
7 79
 
4.1%
3 74
 
3.8%
Other values (2) 122
 
6.3%
Latin
ValueCountFrequency (%)
a 552
16.7%
l 552
16.7%
N 276
8.3%
b 276
8.3%
i 276
8.3%
e 276
8.3%
v 276
8.3%
A 276
8.3%
t 276
8.3%
o 276
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5248
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 742
14.1%
a 552
 
10.5%
l 552
 
10.5%
N 276
 
5.3%
b 276
 
5.3%
i 276
 
5.3%
e 276
 
5.3%
v 276
 
5.3%
A 276
 
5.3%
276
 
5.3%
Other values (12) 1470
28.0%
Distinct147
Distinct (%)14.7%
Missing0
Missing (%)0.0%
Memory size60.5 KiB
2023-12-09T20:55:04.288457image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length5
Mean length4.847
Min length1

Characters and Unicode

Total characters4847
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)6.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th row0
5th row0
ValueCountFrequency (%)
0 309
24.2%
not 276
21.6%
available 276
21.6%
72 15
 
1.2%
77 13
 
1.0%
73 13
 
1.0%
60 12
 
0.9%
84 10
 
0.8%
66 9
 
0.7%
74 9
 
0.7%
Other values (138) 334
26.2%
2023-12-09T20:55:04.852170image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 552
 
11.4%
l 552
 
11.4%
0 379
 
7.8%
N 276
 
5.7%
b 276
 
5.7%
i 276
 
5.7%
e 276
 
5.7%
v 276
 
5.7%
A 276
 
5.7%
276
 
5.7%
Other values (12) 1432
29.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2760
56.9%
Decimal Number 1240
25.6%
Uppercase Letter 552
 
11.4%
Space Separator 276
 
5.7%
Other Punctuation 19
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 379
30.6%
1 132
 
10.6%
7 128
 
10.3%
6 110
 
8.9%
2 94
 
7.6%
8 87
 
7.0%
4 86
 
6.9%
5 85
 
6.9%
3 82
 
6.6%
9 57
 
4.6%
Lowercase Letter
ValueCountFrequency (%)
a 552
20.0%
l 552
20.0%
b 276
10.0%
i 276
10.0%
e 276
10.0%
v 276
10.0%
t 276
10.0%
o 276
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 276
50.0%
A 276
50.0%
Space Separator
ValueCountFrequency (%)
276
100.0%
Other Punctuation
ValueCountFrequency (%)
. 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3312
68.3%
Common 1535
31.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 379
24.7%
276
18.0%
1 132
 
8.6%
7 128
 
8.3%
6 110
 
7.2%
2 94
 
6.1%
8 87
 
5.7%
4 86
 
5.6%
5 85
 
5.5%
3 82
 
5.3%
Other values (2) 76
 
5.0%
Latin
ValueCountFrequency (%)
a 552
16.7%
l 552
16.7%
N 276
8.3%
b 276
8.3%
i 276
8.3%
e 276
8.3%
v 276
8.3%
A 276
8.3%
t 276
8.3%
o 276
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4847
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 552
 
11.4%
l 552
 
11.4%
0 379
 
7.8%
N 276
 
5.7%
b 276
 
5.7%
i 276
 
5.7%
e 276
 
5.7%
v 276
 
5.7%
A 276
 
5.7%
276
 
5.7%
Other values (12) 1432
29.5%
Distinct380
Distinct (%)38.0%
Missing0
Missing (%)0.0%
Memory size62.3 KiB
2023-12-09T20:55:05.336121image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length7
Mean length6.69
Min length1

Characters and Unicode

Total characters6690
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique363 ?
Unique (%)36.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th row0
5th row0
ValueCountFrequency (%)
0 309
24.2%
available 276
21.6%
not 276
21.6%
1.02857 11
 
0.9%
1.04286 9
 
0.7%
1.1 5
 
0.4%
1.2 4
 
0.3%
0.61714 3
 
0.2%
0.82912 2
 
0.2%
0.85 2
 
0.2%
Other values (371) 379
29.7%
2023-12-09T20:55:05.986694image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 746
 
11.2%
l 552
 
8.3%
a 552
 
8.3%
. 414
 
6.2%
1 338
 
5.1%
i 276
 
4.1%
N 276
 
4.1%
b 276
 
4.1%
e 276
 
4.1%
v 276
 
4.1%
Other values (12) 2708
40.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2760
41.3%
Decimal Number 2688
40.2%
Uppercase Letter 552
 
8.3%
Other Punctuation 414
 
6.2%
Space Separator 276
 
4.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 746
27.8%
1 338
12.6%
8 231
 
8.6%
9 214
 
8.0%
7 202
 
7.5%
4 202
 
7.5%
2 200
 
7.4%
6 196
 
7.3%
3 192
 
7.1%
5 167
 
6.2%
Lowercase Letter
ValueCountFrequency (%)
l 552
20.0%
a 552
20.0%
i 276
10.0%
b 276
10.0%
e 276
10.0%
v 276
10.0%
t 276
10.0%
o 276
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 276
50.0%
A 276
50.0%
Other Punctuation
ValueCountFrequency (%)
. 414
100.0%
Space Separator
ValueCountFrequency (%)
276
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3378
50.5%
Latin 3312
49.5%

Most frequent character per script

Common
ValueCountFrequency (%)
0 746
22.1%
. 414
12.3%
1 338
10.0%
276
 
8.2%
8 231
 
6.8%
9 214
 
6.3%
7 202
 
6.0%
4 202
 
6.0%
2 200
 
5.9%
6 196
 
5.8%
Other values (2) 359
10.6%
Latin
ValueCountFrequency (%)
l 552
16.7%
a 552
16.7%
i 276
8.3%
N 276
8.3%
b 276
8.3%
e 276
8.3%
v 276
8.3%
A 276
8.3%
t 276
8.3%
o 276
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6690
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 746
 
11.2%
l 552
 
8.3%
a 552
 
8.3%
. 414
 
6.2%
1 338
 
5.1%
i 276
 
4.1%
N 276
 
4.1%
b 276
 
4.1%
e 276
 
4.1%
v 276
 
4.1%
Other values (12) 2708
40.5%
Distinct132
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Memory size67.4 KiB
2023-12-09T20:55:06.453679image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.869
Min length1

Characters and Unicode

Total characters11869
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique128 ?
Unique (%)12.8%

Sample

1st row4.84345
2nd row3.5
3rd rowNot Available
4th rowNot Available
5th row2
ValueCountFrequency (%)
not 846
45.8%
available 846
45.8%
2 20
 
1.1%
0 4
 
0.2%
1.75 2
 
0.1%
1.61439 1
 
0.1%
1.57251 1
 
0.1%
1.56109 1
 
0.1%
2.61867 1
 
0.1%
0.856 1
 
0.1%
Other values (123) 123
 
6.7%
2023-12-09T20:55:07.047020image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1692
14.3%
l 1692
14.3%
N 846
7.1%
t 846
7.1%
846
7.1%
A 846
7.1%
v 846
7.1%
i 846
7.1%
b 846
7.1%
e 846
7.1%
Other values (12) 1717
14.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8460
71.3%
Uppercase Letter 1692
 
14.3%
Space Separator 846
 
7.1%
Decimal Number 746
 
6.3%
Other Punctuation 125
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 110
14.7%
1 106
14.2%
3 93
12.5%
9 80
10.7%
4 73
9.8%
6 65
8.7%
5 63
8.4%
0 60
8.0%
7 48
6.4%
8 48
6.4%
Lowercase Letter
ValueCountFrequency (%)
a 1692
20.0%
l 1692
20.0%
t 846
10.0%
v 846
10.0%
i 846
10.0%
b 846
10.0%
e 846
10.0%
o 846
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 846
50.0%
A 846
50.0%
Space Separator
ValueCountFrequency (%)
846
100.0%
Other Punctuation
ValueCountFrequency (%)
. 125
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10152
85.5%
Common 1717
 
14.5%

Most frequent character per script

Common
ValueCountFrequency (%)
846
49.3%
. 125
 
7.3%
2 110
 
6.4%
1 106
 
6.2%
3 93
 
5.4%
9 80
 
4.7%
4 73
 
4.3%
6 65
 
3.8%
5 63
 
3.7%
0 60
 
3.5%
Other values (2) 96
 
5.6%
Latin
ValueCountFrequency (%)
a 1692
16.7%
l 1692
16.7%
N 846
8.3%
t 846
8.3%
A 846
8.3%
v 846
8.3%
i 846
8.3%
b 846
8.3%
e 846
8.3%
o 846
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11869
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1692
14.3%
l 1692
14.3%
N 846
7.1%
t 846
7.1%
846
7.1%
A 846
7.1%
v 846
7.1%
i 846
7.1%
b 846
7.1%
e 846
7.1%
Other values (12) 1717
14.5%
Distinct150
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Memory size67.3 KiB
2023-12-09T20:55:07.525382image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.792
Min length1

Characters and Unicode

Total characters11792
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique143 ?
Unique (%)14.3%

Sample

1st row153816
2nd row2000
3rd rowNot Available
4th rowNot Available
5th row1032
ValueCountFrequency (%)
not 845
45.8%
available 845
45.8%
100000 2
 
0.1%
2000 2
 
0.1%
3000 2
 
0.1%
1000 2
 
0.1%
5000 2
 
0.1%
405 2
 
0.1%
337588 1
 
0.1%
63110 1
 
0.1%
Other values (141) 141
 
7.6%
2023-12-09T20:55:08.138647image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1690
14.3%
l 1690
14.3%
N 845
7.2%
t 845
7.2%
845
7.2%
A 845
7.2%
v 845
7.2%
i 845
7.2%
b 845
7.2%
e 845
7.2%
Other values (12) 1652
14.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8450
71.7%
Uppercase Letter 1690
 
14.3%
Space Separator 845
 
7.2%
Decimal Number 806
 
6.8%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 171
21.2%
3 93
11.5%
1 87
10.8%
5 82
10.2%
2 65
 
8.1%
4 64
 
7.9%
7 63
 
7.8%
9 61
 
7.6%
8 60
 
7.4%
6 60
 
7.4%
Lowercase Letter
ValueCountFrequency (%)
a 1690
20.0%
l 1690
20.0%
t 845
10.0%
v 845
10.0%
i 845
10.0%
b 845
10.0%
e 845
10.0%
o 845
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 845
50.0%
A 845
50.0%
Space Separator
ValueCountFrequency (%)
845
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10140
86.0%
Common 1652
 
14.0%

Most frequent character per script

Common
ValueCountFrequency (%)
845
51.2%
0 171
 
10.4%
3 93
 
5.6%
1 87
 
5.3%
5 82
 
5.0%
2 65
 
3.9%
4 64
 
3.9%
7 63
 
3.8%
9 61
 
3.7%
8 60
 
3.6%
Other values (2) 61
 
3.7%
Latin
ValueCountFrequency (%)
a 1690
16.7%
l 1690
16.7%
N 845
8.3%
t 845
8.3%
A 845
8.3%
v 845
8.3%
i 845
8.3%
b 845
8.3%
e 845
8.3%
o 845
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11792
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1690
14.3%
l 1690
14.3%
N 845
7.2%
t 845
7.2%
845
7.2%
A 845
7.2%
v 845
7.2%
i 845
7.2%
b 845
7.2%
e 845
7.2%
Other values (12) 1652
14.0%
Distinct120
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size67.0 KiB
2023-12-09T20:55:08.537992image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.464
Min length1

Characters and Unicode

Total characters11464
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique101 ?
Unique (%)10.1%

Sample

1st row745
2nd row7
3rd rowNot Available
4th rowNot Available
5th row2.06
ValueCountFrequency (%)
not 845
45.8%
available 845
45.8%
300 7
 
0.4%
0 5
 
0.3%
200 5
 
0.3%
1 3
 
0.2%
100 3
 
0.2%
20 3
 
0.2%
1300 3
 
0.2%
250 3
 
0.2%
Other values (111) 123
 
6.7%
2023-12-09T20:55:09.060338image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1690
14.7%
l 1690
14.7%
N 845
7.4%
t 845
7.4%
845
7.4%
A 845
7.4%
v 845
7.4%
i 845
7.4%
b 845
7.4%
e 845
7.4%
Other values (12) 1324
11.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8450
73.7%
Uppercase Letter 1690
 
14.7%
Space Separator 845
 
7.4%
Decimal Number 457
 
4.0%
Other Punctuation 22
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 112
24.5%
1 76
16.6%
2 51
11.2%
5 47
10.3%
3 38
 
8.3%
4 34
 
7.4%
9 27
 
5.9%
7 26
 
5.7%
8 24
 
5.3%
6 22
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
a 1690
20.0%
l 1690
20.0%
t 845
10.0%
v 845
10.0%
i 845
10.0%
b 845
10.0%
e 845
10.0%
o 845
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 845
50.0%
A 845
50.0%
Space Separator
ValueCountFrequency (%)
845
100.0%
Other Punctuation
ValueCountFrequency (%)
. 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10140
88.5%
Common 1324
 
11.5%

Most frequent character per script

Common
ValueCountFrequency (%)
845
63.8%
0 112
 
8.5%
1 76
 
5.7%
2 51
 
3.9%
5 47
 
3.5%
3 38
 
2.9%
4 34
 
2.6%
9 27
 
2.0%
7 26
 
2.0%
8 24
 
1.8%
Other values (2) 44
 
3.3%
Latin
ValueCountFrequency (%)
a 1690
16.7%
l 1690
16.7%
N 845
8.3%
t 845
8.3%
A 845
8.3%
v 845
8.3%
i 845
8.3%
b 845
8.3%
e 845
8.3%
o 845
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11464
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1690
14.7%
l 1690
14.7%
N 845
7.4%
t 845
7.4%
845
7.4%
A 845
7.4%
v 845
7.4%
i 845
7.4%
b 845
7.4%
e 845
7.4%
Other values (12) 1324
11.5%
Distinct122
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Memory size67.0 KiB
2023-12-09T20:55:09.474534image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.472
Min length1

Characters and Unicode

Total characters11472
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)10.0%

Sample

1st row620
2nd row6
3rd rowNot Available
4th rowNot Available
5th row2.37
ValueCountFrequency (%)
not 845
45.8%
available 845
45.8%
0 5
 
0.3%
300 4
 
0.2%
35 4
 
0.2%
400 4
 
0.2%
200 3
 
0.2%
9 3
 
0.2%
250 3
 
0.2%
12 3
 
0.2%
Other values (113) 126
 
6.8%
2023-12-09T20:55:10.028211image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1690
14.7%
l 1690
14.7%
N 845
7.4%
o 845
7.4%
t 845
7.4%
845
7.4%
A 845
7.4%
v 845
7.4%
i 845
7.4%
b 845
7.4%
Other values (12) 1332
11.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8450
73.7%
Uppercase Letter 1690
 
14.7%
Space Separator 845
 
7.4%
Decimal Number 462
 
4.0%
Other Punctuation 25
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 107
23.2%
1 70
15.2%
2 58
12.6%
3 44
9.5%
5 42
 
9.1%
4 34
 
7.4%
9 31
 
6.7%
6 28
 
6.1%
8 25
 
5.4%
7 23
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
a 1690
20.0%
l 1690
20.0%
o 845
10.0%
t 845
10.0%
v 845
10.0%
i 845
10.0%
b 845
10.0%
e 845
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 845
50.0%
A 845
50.0%
Space Separator
ValueCountFrequency (%)
845
100.0%
Other Punctuation
ValueCountFrequency (%)
. 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10140
88.4%
Common 1332
 
11.6%

Most frequent character per script

Common
ValueCountFrequency (%)
845
63.4%
0 107
 
8.0%
1 70
 
5.3%
2 58
 
4.4%
3 44
 
3.3%
5 42
 
3.2%
4 34
 
2.6%
9 31
 
2.3%
6 28
 
2.1%
8 25
 
1.9%
Other values (2) 48
 
3.6%
Latin
ValueCountFrequency (%)
a 1690
16.7%
l 1690
16.7%
N 845
8.3%
o 845
8.3%
t 845
8.3%
A 845
8.3%
v 845
8.3%
i 845
8.3%
b 845
8.3%
e 845
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11472
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1690
14.7%
l 1690
14.7%
N 845
7.4%
o 845
7.4%
t 845
7.4%
845
7.4%
A 845
7.4%
v 845
7.4%
i 845
7.4%
b 845
7.4%
Other values (12) 1332
11.6%
Distinct18
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size67.0 KiB
2023-12-09T20:55:10.260363image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.468
Min length1

Characters and Unicode

Total characters11468
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)1.4%

Sample

1st row100
2nd row100
3rd rowNot Available
4th rowNot Available
5th row100
ValueCountFrequency (%)
not 845
45.8%
available 845
45.8%
100 136
 
7.4%
25 3
 
0.2%
0 2
 
0.1%
88.29 1
 
0.1%
81.82 1
 
0.1%
82.44 1
 
0.1%
72.61 1
 
0.1%
83.75 1
 
0.1%
Other values (9) 9
 
0.5%
2023-12-09T20:55:10.609125image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1690
14.7%
l 1690
14.7%
N 845
7.4%
t 845
7.4%
845
7.4%
A 845
7.4%
v 845
7.4%
i 845
7.4%
b 845
7.4%
e 845
7.4%
Other values (12) 1328
11.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8450
73.7%
Uppercase Letter 1690
 
14.7%
Space Separator 845
 
7.4%
Decimal Number 470
 
4.1%
Other Punctuation 13
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 275
58.5%
1 142
30.2%
2 10
 
2.1%
8 10
 
2.1%
5 7
 
1.5%
7 7
 
1.5%
9 7
 
1.5%
6 6
 
1.3%
4 4
 
0.9%
3 2
 
0.4%
Lowercase Letter
ValueCountFrequency (%)
a 1690
20.0%
l 1690
20.0%
t 845
10.0%
v 845
10.0%
i 845
10.0%
b 845
10.0%
e 845
10.0%
o 845
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 845
50.0%
A 845
50.0%
Space Separator
ValueCountFrequency (%)
845
100.0%
Other Punctuation
ValueCountFrequency (%)
. 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10140
88.4%
Common 1328
 
11.6%

Most frequent character per script

Common
ValueCountFrequency (%)
845
63.6%
0 275
 
20.7%
1 142
 
10.7%
. 13
 
1.0%
2 10
 
0.8%
8 10
 
0.8%
5 7
 
0.5%
7 7
 
0.5%
9 7
 
0.5%
6 6
 
0.5%
Other values (2) 6
 
0.5%
Latin
ValueCountFrequency (%)
a 1690
16.7%
l 1690
16.7%
N 845
8.3%
t 845
8.3%
A 845
8.3%
v 845
8.3%
i 845
8.3%
b 845
8.3%
e 845
8.3%
o 845
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11468
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1690
14.7%
l 1690
14.7%
N 845
7.4%
t 845
7.4%
845
7.4%
A 845
7.4%
v 845
7.4%
i 845
7.4%
b 845
7.4%
e 845
7.4%
Other values (12) 1328
11.6%
Distinct12
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size67.0 KiB
2023-12-09T20:55:10.807900image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.461
Min length1

Characters and Unicode

Total characters11461
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)0.9%

Sample

1st row100
2nd row100
3rd rowNot Available
4th rowNot Available
5th row100
ValueCountFrequency (%)
not 845
45.8%
available 845
45.8%
100 144
 
7.8%
33 2
 
0.1%
0 1
 
0.1%
89.54 1
 
0.1%
85.48 1
 
0.1%
84.22 1
 
0.1%
91.67 1
 
0.1%
84.31 1
 
0.1%
Other values (3) 3
 
0.2%
2023-12-09T20:55:11.146084image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1690
14.7%
l 1690
14.7%
N 845
7.4%
t 845
7.4%
845
7.4%
A 845
7.4%
v 845
7.4%
i 845
7.4%
b 845
7.4%
e 845
7.4%
Other values (12) 1321
11.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8450
73.7%
Uppercase Letter 1690
 
14.7%
Space Separator 845
 
7.4%
Decimal Number 468
 
4.1%
Other Punctuation 8
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 289
61.8%
1 146
31.2%
8 8
 
1.7%
4 6
 
1.3%
3 5
 
1.1%
9 4
 
0.9%
2 4
 
0.9%
5 3
 
0.6%
7 2
 
0.4%
6 1
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
a 1690
20.0%
l 1690
20.0%
t 845
10.0%
v 845
10.0%
i 845
10.0%
b 845
10.0%
e 845
10.0%
o 845
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 845
50.0%
A 845
50.0%
Space Separator
ValueCountFrequency (%)
845
100.0%
Other Punctuation
ValueCountFrequency (%)
. 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10140
88.5%
Common 1321
 
11.5%

Most frequent character per script

Common
ValueCountFrequency (%)
845
64.0%
0 289
 
21.9%
1 146
 
11.1%
8 8
 
0.6%
. 8
 
0.6%
4 6
 
0.5%
3 5
 
0.4%
9 4
 
0.3%
2 4
 
0.3%
5 3
 
0.2%
Other values (2) 3
 
0.2%
Latin
ValueCountFrequency (%)
a 1690
16.7%
l 1690
16.7%
N 845
8.3%
t 845
8.3%
A 845
8.3%
v 845
8.3%
i 845
8.3%
b 845
8.3%
e 845
8.3%
o 845
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11461
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1690
14.7%
l 1690
14.7%
N 845
7.4%
t 845
7.4%
845
7.4%
A 845
7.4%
v 845
7.4%
i 845
7.4%
b 845
7.4%
e 845
7.4%
Other values (12) 1321
11.5%
Distinct64
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size66.9 KiB
2023-12-09T20:55:11.438720image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.408
Min length1

Characters and Unicode

Total characters11408
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)4.9%

Sample

1st row86.36
2nd row40
3rd rowNot Available
4th rowNot Available
5th row65
ValueCountFrequency (%)
not 845
45.8%
available 845
45.8%
65 28
 
1.5%
55 17
 
0.9%
50 14
 
0.8%
60 10
 
0.5%
40 9
 
0.5%
144 5
 
0.3%
45 5
 
0.3%
70 5
 
0.3%
Other values (55) 62
 
3.4%
2023-12-09T20:55:11.872515image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1690
14.8%
l 1690
14.8%
N 845
7.4%
t 845
7.4%
845
7.4%
A 845
7.4%
v 845
7.4%
i 845
7.4%
b 845
7.4%
e 845
7.4%
Other values (12) 1268
11.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8450
74.1%
Uppercase Letter 1690
 
14.8%
Space Separator 845
 
7.4%
Decimal Number 384
 
3.4%
Other Punctuation 39
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 99
25.8%
6 66
17.2%
4 61
15.9%
0 48
12.5%
7 25
 
6.5%
3 23
 
6.0%
8 19
 
4.9%
1 18
 
4.7%
2 14
 
3.6%
9 11
 
2.9%
Lowercase Letter
ValueCountFrequency (%)
a 1690
20.0%
l 1690
20.0%
t 845
10.0%
v 845
10.0%
i 845
10.0%
b 845
10.0%
e 845
10.0%
o 845
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 845
50.0%
A 845
50.0%
Space Separator
ValueCountFrequency (%)
845
100.0%
Other Punctuation
ValueCountFrequency (%)
. 39
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10140
88.9%
Common 1268
 
11.1%

Most frequent character per script

Common
ValueCountFrequency (%)
845
66.6%
5 99
 
7.8%
6 66
 
5.2%
4 61
 
4.8%
0 48
 
3.8%
. 39
 
3.1%
7 25
 
2.0%
3 23
 
1.8%
8 19
 
1.5%
1 18
 
1.4%
Other values (2) 25
 
2.0%
Latin
ValueCountFrequency (%)
a 1690
16.7%
l 1690
16.7%
N 845
8.3%
t 845
8.3%
A 845
8.3%
v 845
8.3%
i 845
8.3%
b 845
8.3%
e 845
8.3%
o 845
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11408
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1690
14.8%
l 1690
14.8%
N 845
7.4%
t 845
7.4%
845
7.4%
A 845
7.4%
v 845
7.4%
i 845
7.4%
b 845
7.4%
e 845
7.4%
Other values (12) 1268
11.1%
Distinct131
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Memory size67.4 KiB
2023-12-09T20:55:12.318294image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.921
Min length1

Characters and Unicode

Total characters11921
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique124 ?
Unique (%)12.4%

Sample

1st row4.03079
2nd row3
3rd rowNot Available
4th rowNot Available
5th row2.3
ValueCountFrequency (%)
not 846
45.8%
available 846
45.8%
2.3 18
 
1.0%
0 4
 
0.2%
2.29944 2
 
0.1%
3 2
 
0.1%
5 2
 
0.1%
2.28571 2
 
0.1%
9.6423 1
 
0.1%
2.46914 1
 
0.1%
Other values (122) 122
 
6.6%
2023-12-09T20:55:12.919797image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1692
14.2%
l 1692
14.2%
N 846
7.1%
t 846
7.1%
846
7.1%
A 846
7.1%
v 846
7.1%
i 846
7.1%
b 846
7.1%
e 846
7.1%
Other values (12) 1769
14.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8460
71.0%
Uppercase Letter 1692
 
14.2%
Space Separator 846
 
7.1%
Decimal Number 778
 
6.5%
Other Punctuation 145
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 133
17.1%
3 112
14.4%
1 98
12.6%
9 72
9.3%
4 66
8.5%
0 64
8.2%
7 61
7.8%
6 60
7.7%
5 59
7.6%
8 53
 
6.8%
Lowercase Letter
ValueCountFrequency (%)
a 1692
20.0%
l 1692
20.0%
t 846
10.0%
v 846
10.0%
i 846
10.0%
b 846
10.0%
e 846
10.0%
o 846
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 846
50.0%
A 846
50.0%
Space Separator
ValueCountFrequency (%)
846
100.0%
Other Punctuation
ValueCountFrequency (%)
. 145
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10152
85.2%
Common 1769
 
14.8%

Most frequent character per script

Common
ValueCountFrequency (%)
846
47.8%
. 145
 
8.2%
2 133
 
7.5%
3 112
 
6.3%
1 98
 
5.5%
9 72
 
4.1%
4 66
 
3.7%
0 64
 
3.6%
7 61
 
3.4%
6 60
 
3.4%
Other values (2) 112
 
6.3%
Latin
ValueCountFrequency (%)
a 1692
16.7%
l 1692
16.7%
N 846
8.3%
t 846
8.3%
A 846
8.3%
v 846
8.3%
i 846
8.3%
b 846
8.3%
e 846
8.3%
o 846
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11921
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1692
14.2%
l 1692
14.2%
N 846
7.1%
t 846
7.1%
846
7.1%
A 846
7.1%
v 846
7.1%
i 846
7.1%
b 846
7.1%
e 846
7.1%
Other values (12) 1769
14.8%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:55:13.124398image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.991
Min length4

Characters and Unicode

Total characters12991
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
5924 1
 
0.1%
2023-12-09T20:55:13.442135image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (5) 1003
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1998
20.0%
l 1998
20.0%
o 999
10.0%
t 999
10.0%
v 999
10.0%
i 999
10.0%
b 999
10.0%
e 999
10.0%
Decimal Number
ValueCountFrequency (%)
5 1
25.0%
9 1
25.0%
2 1
25.0%
4 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Space Separator
ValueCountFrequency (%)
999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.3%
Common 1003
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1998
16.7%
l 1998
16.7%
N 999
8.3%
o 999
8.3%
t 999
8.3%
A 999
8.3%
v 999
8.3%
i 999
8.3%
b 999
8.3%
e 999
8.3%
Common
ValueCountFrequency (%)
999
99.6%
5 1
 
0.1%
9 1
 
0.1%
2 1
 
0.1%
4 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12991
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (5) 1003
7.7%
Distinct31
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:55:13.692752image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.769
Min length4

Characters and Unicode

Total characters12769
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)3.0%

Sample

1st rowNot Available
2nd row61000
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 970
49.2%
available 970
49.2%
22575 1
 
0.1%
306760 1
 
0.1%
55045 1
 
0.1%
83100 1
 
0.1%
50000 1
 
0.1%
46000 1
 
0.1%
207171 1
 
0.1%
215365 1
 
0.1%
Other values (22) 22
 
1.1%
2023-12-09T20:55:14.073313image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1940
15.2%
l 1940
15.2%
N 970
7.6%
o 970
7.6%
b 970
7.6%
i 970
7.6%
e 970
7.6%
v 970
7.6%
A 970
7.6%
970
7.6%
Other values (11) 1129
8.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9700
76.0%
Uppercase Letter 1940
 
15.2%
Space Separator 970
 
7.6%
Decimal Number 159
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 53
33.3%
6 19
 
11.9%
5 19
 
11.9%
1 16
 
10.1%
2 12
 
7.5%
3 11
 
6.9%
4 11
 
6.9%
7 9
 
5.7%
8 6
 
3.8%
9 3
 
1.9%
Lowercase Letter
ValueCountFrequency (%)
a 1940
20.0%
l 1940
20.0%
o 970
10.0%
b 970
10.0%
i 970
10.0%
e 970
10.0%
v 970
10.0%
t 970
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 970
50.0%
A 970
50.0%
Space Separator
ValueCountFrequency (%)
970
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11640
91.2%
Common 1129
 
8.8%

Most frequent character per script

Common
ValueCountFrequency (%)
970
85.9%
0 53
 
4.7%
6 19
 
1.7%
5 19
 
1.7%
1 16
 
1.4%
2 12
 
1.1%
3 11
 
1.0%
4 11
 
1.0%
7 9
 
0.8%
8 6
 
0.5%
Latin
ValueCountFrequency (%)
a 1940
16.7%
l 1940
16.7%
N 970
8.3%
o 970
8.3%
b 970
8.3%
i 970
8.3%
e 970
8.3%
v 970
8.3%
A 970
8.3%
t 970
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12769
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1940
15.2%
l 1940
15.2%
N 970
7.6%
o 970
7.6%
b 970
7.6%
i 970
7.6%
e 970
7.6%
v 970
7.6%
A 970
7.6%
970
7.6%
Other values (11) 1129
8.8%
Distinct80
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size67.8 KiB
2023-12-09T20:55:14.431908image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.331
Min length3

Characters and Unicode

Total characters12331
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique79 ?
Unique (%)7.9%

Sample

1st rowNot Available
2nd rowNot Available
3rd row4116
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 921
47.9%
available 921
47.9%
720 1
 
0.1%
4200 1
 
0.1%
14000 1
 
0.1%
1531 1
 
0.1%
37500 1
 
0.1%
8120 1
 
0.1%
419559 1
 
0.1%
40500 1
 
0.1%
Other values (71) 71
 
3.7%
2023-12-09T20:55:14.912632image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1842
14.9%
l 1842
14.9%
N 921
7.5%
t 921
7.5%
921
7.5%
A 921
7.5%
v 921
7.5%
i 921
7.5%
b 921
7.5%
e 921
7.5%
Other values (12) 1279
10.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9210
74.7%
Uppercase Letter 1842
 
14.9%
Space Separator 921
 
7.5%
Decimal Number 357
 
2.9%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 83
23.2%
1 48
13.4%
5 38
10.6%
4 34
9.5%
2 30
 
8.4%
3 29
 
8.1%
7 27
 
7.6%
6 25
 
7.0%
9 25
 
7.0%
8 18
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
a 1842
20.0%
l 1842
20.0%
t 921
10.0%
v 921
10.0%
i 921
10.0%
b 921
10.0%
e 921
10.0%
o 921
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 921
50.0%
A 921
50.0%
Space Separator
ValueCountFrequency (%)
921
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11052
89.6%
Common 1279
 
10.4%

Most frequent character per script

Common
ValueCountFrequency (%)
921
72.0%
0 83
 
6.5%
1 48
 
3.8%
5 38
 
3.0%
4 34
 
2.7%
2 30
 
2.3%
3 29
 
2.3%
7 27
 
2.1%
6 25
 
2.0%
9 25
 
2.0%
Other values (2) 19
 
1.5%
Latin
ValueCountFrequency (%)
a 1842
16.7%
l 1842
16.7%
N 921
8.3%
t 921
8.3%
A 921
8.3%
v 921
8.3%
i 921
8.3%
b 921
8.3%
e 921
8.3%
o 921
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12331
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1842
14.9%
l 1842
14.9%
N 921
7.5%
t 921
7.5%
921
7.5%
A 921
7.5%
v 921
7.5%
i 921
7.5%
b 921
7.5%
e 921
7.5%
Other values (12) 1279
10.4%
Distinct29
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size68.1 KiB
2023-12-09T20:55:15.150603image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.606
Min length1

Characters and Unicode

Total characters12606
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)2.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd row168
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 962
49.0%
available 962
49.0%
0 4
 
0.2%
84 3
 
0.2%
40 3
 
0.2%
168 3
 
0.2%
45 2
 
0.1%
105.93 1
 
0.1%
104 1
 
0.1%
1 1
 
0.1%
Other values (20) 20
 
1.0%
2023-12-09T20:55:15.515280image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1924
15.3%
l 1924
15.3%
N 962
7.6%
o 962
7.6%
t 962
7.6%
962
7.6%
A 962
7.6%
v 962
7.6%
i 962
7.6%
b 962
7.6%
Other values (12) 1062
8.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9620
76.3%
Uppercase Letter 1924
 
15.3%
Space Separator 962
 
7.6%
Decimal Number 94
 
0.7%
Other Punctuation 6
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 18
19.1%
1 16
17.0%
4 11
11.7%
5 11
11.7%
8 9
9.6%
6 9
9.6%
3 9
9.6%
7 5
 
5.3%
9 4
 
4.3%
2 2
 
2.1%
Lowercase Letter
ValueCountFrequency (%)
a 1924
20.0%
l 1924
20.0%
o 962
10.0%
t 962
10.0%
v 962
10.0%
i 962
10.0%
b 962
10.0%
e 962
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 962
50.0%
A 962
50.0%
Space Separator
ValueCountFrequency (%)
962
100.0%
Other Punctuation
ValueCountFrequency (%)
. 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11544
91.6%
Common 1062
 
8.4%

Most frequent character per script

Common
ValueCountFrequency (%)
962
90.6%
0 18
 
1.7%
1 16
 
1.5%
4 11
 
1.0%
5 11
 
1.0%
8 9
 
0.8%
6 9
 
0.8%
3 9
 
0.8%
. 6
 
0.6%
7 5
 
0.5%
Other values (2) 6
 
0.6%
Latin
ValueCountFrequency (%)
a 1924
16.7%
l 1924
16.7%
N 962
8.3%
o 962
8.3%
t 962
8.3%
A 962
8.3%
v 962
8.3%
i 962
8.3%
b 962
8.3%
e 962
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12606
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1924
15.3%
l 1924
15.3%
N 962
7.6%
o 962
7.6%
t 962
7.6%
962
7.6%
A 962
7.6%
v 962
7.6%
i 962
7.6%
b 962
7.6%
Other values (12) 1062
8.4%
Distinct22
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size68.0 KiB
2023-12-09T20:55:15.737590image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.549
Min length1

Characters and Unicode

Total characters12549
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)1.7%

Sample

1st rowNot Available
2nd rowNot Available
3rd row24
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 961
49.0%
available 961
49.0%
0 10
 
0.5%
1 7
 
0.4%
5 3
 
0.2%
7 2
 
0.1%
13 1
 
0.1%
24 1
 
0.1%
2 1
 
0.1%
18 1
 
0.1%
Other values (13) 13
 
0.7%
2023-12-09T20:55:16.089777image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1922
15.3%
l 1922
15.3%
N 961
7.7%
o 961
7.7%
b 961
7.7%
i 961
7.7%
e 961
7.7%
v 961
7.7%
A 961
7.7%
961
7.7%
Other values (11) 1017
8.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9610
76.6%
Uppercase Letter 1922
 
15.3%
Space Separator 961
 
7.7%
Decimal Number 56
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 13
23.2%
1 13
23.2%
2 9
16.1%
5 5
 
8.9%
7 4
 
7.1%
4 4
 
7.1%
8 3
 
5.4%
3 2
 
3.6%
6 2
 
3.6%
9 1
 
1.8%
Lowercase Letter
ValueCountFrequency (%)
a 1922
20.0%
l 1922
20.0%
o 961
10.0%
b 961
10.0%
i 961
10.0%
e 961
10.0%
v 961
10.0%
t 961
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 961
50.0%
A 961
50.0%
Space Separator
ValueCountFrequency (%)
961
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11532
91.9%
Common 1017
 
8.1%

Most frequent character per script

Common
ValueCountFrequency (%)
961
94.5%
0 13
 
1.3%
1 13
 
1.3%
2 9
 
0.9%
5 5
 
0.5%
7 4
 
0.4%
4 4
 
0.4%
8 3
 
0.3%
3 2
 
0.2%
6 2
 
0.2%
Latin
ValueCountFrequency (%)
a 1922
16.7%
l 1922
16.7%
N 961
8.3%
o 961
8.3%
b 961
8.3%
i 961
8.3%
e 961
8.3%
v 961
8.3%
A 961
8.3%
t 961
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12549
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1922
15.3%
l 1922
15.3%
N 961
7.7%
o 961
7.7%
b 961
7.7%
i 961
7.7%
e 961
7.7%
v 961
7.7%
A 961
7.7%
961
7.7%
Other values (11) 1017
8.1%
Distinct27
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size68.0 KiB
2023-12-09T20:55:16.316364image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.548
Min length1

Characters and Unicode

Total characters12548
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)1.8%

Sample

1st rowNot Available
2nd rowNot Available
3rd row15
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 960
49.0%
available 960
49.0%
0 6
 
0.3%
20 4
 
0.2%
1 2
 
0.1%
6 2
 
0.1%
10 2
 
0.1%
3 2
 
0.1%
15 2
 
0.1%
4 2
 
0.1%
Other values (18) 18
 
0.9%
2023-12-09T20:55:16.667325image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1920
15.3%
l 1920
15.3%
N 960
7.7%
o 960
7.7%
b 960
7.7%
i 960
7.7%
e 960
7.7%
v 960
7.7%
A 960
7.7%
960
7.7%
Other values (11) 1028
8.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9600
76.5%
Uppercase Letter 1920
 
15.3%
Space Separator 960
 
7.7%
Decimal Number 68
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 14
20.6%
2 10
14.7%
3 10
14.7%
1 9
13.2%
5 8
11.8%
6 5
 
7.4%
4 4
 
5.9%
9 3
 
4.4%
8 3
 
4.4%
7 2
 
2.9%
Lowercase Letter
ValueCountFrequency (%)
a 1920
20.0%
l 1920
20.0%
o 960
10.0%
b 960
10.0%
i 960
10.0%
e 960
10.0%
v 960
10.0%
t 960
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 960
50.0%
A 960
50.0%
Space Separator
ValueCountFrequency (%)
960
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11520
91.8%
Common 1028
 
8.2%

Most frequent character per script

Common
ValueCountFrequency (%)
960
93.4%
0 14
 
1.4%
2 10
 
1.0%
3 10
 
1.0%
1 9
 
0.9%
5 8
 
0.8%
6 5
 
0.5%
4 4
 
0.4%
9 3
 
0.3%
8 3
 
0.3%
Latin
ValueCountFrequency (%)
a 1920
16.7%
l 1920
16.7%
N 960
8.3%
o 960
8.3%
b 960
8.3%
i 960
8.3%
e 960
8.3%
v 960
8.3%
A 960
8.3%
t 960
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12548
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1920
15.3%
l 1920
15.3%
N 960
7.7%
o 960
7.7%
b 960
7.7%
i 960
7.7%
e 960
7.7%
v 960
7.7%
A 960
7.7%
960
7.7%
Other values (11) 1028
8.2%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:55:16.845825image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:55:17.155082image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:55:17.337748image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.991
Min length4

Characters and Unicode

Total characters12991
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
1212 1
 
0.1%
2023-12-09T20:55:17.651361image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (3) 1003
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1998
20.0%
l 1998
20.0%
o 999
10.0%
t 999
10.0%
v 999
10.0%
i 999
10.0%
b 999
10.0%
e 999
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
2 2
50.0%
Space Separator
ValueCountFrequency (%)
999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.3%
Common 1003
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1998
16.7%
l 1998
16.7%
N 999
8.3%
o 999
8.3%
t 999
8.3%
A 999
8.3%
v 999
8.3%
i 999
8.3%
b 999
8.3%
e 999
8.3%
Common
ValueCountFrequency (%)
999
99.6%
1 2
 
0.2%
2 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12991
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (3) 1003
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:55:17.834327image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.992
Min length5

Characters and Unicode

Total characters12992
Distinct characters16
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 999
50.0%
available 999
50.0%
12483 1
 
0.1%
2023-12-09T20:55:18.165704image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (6) 1004
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9990
76.9%
Uppercase Letter 1998
 
15.4%
Space Separator 999
 
7.7%
Decimal Number 5
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1998
20.0%
l 1998
20.0%
o 999
10.0%
t 999
10.0%
v 999
10.0%
i 999
10.0%
b 999
10.0%
e 999
10.0%
Decimal Number
ValueCountFrequency (%)
1 1
20.0%
2 1
20.0%
4 1
20.0%
8 1
20.0%
3 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
N 999
50.0%
A 999
50.0%
Space Separator
ValueCountFrequency (%)
999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11988
92.3%
Common 1004
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1998
16.7%
l 1998
16.7%
N 999
8.3%
o 999
8.3%
t 999
8.3%
A 999
8.3%
v 999
8.3%
i 999
8.3%
b 999
8.3%
e 999
8.3%
Common
ValueCountFrequency (%)
999
99.5%
1 1
 
0.1%
2 1
 
0.1%
4 1
 
0.1%
8 1
 
0.1%
3 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12992
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1998
15.4%
l 1998
15.4%
N 999
7.7%
o 999
7.7%
t 999
7.7%
999
7.7%
A 999
7.7%
v 999
7.7%
i 999
7.7%
b 999
7.7%
Other values (6) 1004
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:55:18.409964image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:55:18.985087image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:55:19.236953image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.985
Min length5

Characters and Unicode

Total characters12985
Distinct characters16
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
80000 1
 
0.1%
148700 1
 
0.1%
2023-12-09T20:55:19.724979image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
o 998
7.7%
t 998
7.7%
998
7.7%
A 998
7.7%
v 998
7.7%
i 998
7.7%
b 998
7.7%
Other values (6) 1009
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.9%
Uppercase Letter 1996
 
15.4%
Space Separator 998
 
7.7%
Decimal Number 11
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1996
20.0%
l 1996
20.0%
o 998
10.0%
t 998
10.0%
v 998
10.0%
i 998
10.0%
b 998
10.0%
e 998
10.0%
Decimal Number
ValueCountFrequency (%)
0 6
54.5%
8 2
 
18.2%
1 1
 
9.1%
4 1
 
9.1%
7 1
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
N 998
50.0%
A 998
50.0%
Space Separator
ValueCountFrequency (%)
998
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11976
92.2%
Common 1009
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1996
16.7%
l 1996
16.7%
N 998
8.3%
o 998
8.3%
t 998
8.3%
A 998
8.3%
v 998
8.3%
i 998
8.3%
b 998
8.3%
e 998
8.3%
Common
ValueCountFrequency (%)
998
98.9%
0 6
 
0.6%
8 2
 
0.2%
1 1
 
0.1%
4 1
 
0.1%
7 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12985
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
o 998
7.7%
t 998
7.7%
998
7.7%
A 998
7.7%
v 998
7.7%
i 998
7.7%
b 998
7.7%
Other values (6) 1009
7.8%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:55:19.977952image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:55:20.457617image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct8
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:55:20.736150image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.944
Min length4

Characters and Unicode

Total characters12944
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)0.7%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 993
49.8%
available 993
49.8%
270612 1
 
0.1%
159470 1
 
0.1%
1350 1
 
0.1%
67655 1
 
0.1%
55945 1
 
0.1%
1900 1
 
0.1%
58450 1
 
0.1%
2023-12-09T20:55:21.247821image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1986
15.3%
l 1986
15.3%
N 993
7.7%
o 993
7.7%
b 993
7.7%
i 993
7.7%
e 993
7.7%
v 993
7.7%
A 993
7.7%
993
7.7%
Other values (11) 1028
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9930
76.7%
Uppercase Letter 1986
 
15.3%
Space Separator 993
 
7.7%
Decimal Number 35
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 9
25.7%
0 6
17.1%
1 4
11.4%
7 3
 
8.6%
6 3
 
8.6%
9 3
 
8.6%
4 3
 
8.6%
2 2
 
5.7%
3 1
 
2.9%
8 1
 
2.9%
Lowercase Letter
ValueCountFrequency (%)
a 1986
20.0%
l 1986
20.0%
o 993
10.0%
b 993
10.0%
i 993
10.0%
e 993
10.0%
v 993
10.0%
t 993
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 993
50.0%
A 993
50.0%
Space Separator
ValueCountFrequency (%)
993
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11916
92.1%
Common 1028
 
7.9%

Most frequent character per script

Common
ValueCountFrequency (%)
993
96.6%
5 9
 
0.9%
0 6
 
0.6%
1 4
 
0.4%
7 3
 
0.3%
6 3
 
0.3%
9 3
 
0.3%
4 3
 
0.3%
2 2
 
0.2%
3 1
 
0.1%
Latin
ValueCountFrequency (%)
a 1986
16.7%
l 1986
16.7%
N 993
8.3%
o 993
8.3%
b 993
8.3%
i 993
8.3%
e 993
8.3%
v 993
8.3%
A 993
8.3%
t 993
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12944
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1986
15.3%
l 1986
15.3%
N 993
7.7%
o 993
7.7%
b 993
7.7%
i 993
7.7%
e 993
7.7%
v 993
7.7%
A 993
7.7%
993
7.7%
Other values (11) 1028
7.9%
Distinct28
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T20:55:21.586418image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.755
Min length3

Characters and Unicode

Total characters12755
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)2.6%

Sample

1st rowNot Available
2nd rowNot Available
3rd row2116
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 972
49.3%
available 972
49.3%
7000 2
 
0.1%
6872 1
 
0.1%
8734 1
 
0.1%
11043 1
 
0.1%
5500 1
 
0.1%
13199 1
 
0.1%
18103 1
 
0.1%
2325 1
 
0.1%
Other values (19) 19
 
1.0%
2023-12-09T20:55:21.972682image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1944
15.2%
l 1944
15.2%
N 972
7.6%
o 972
7.6%
b 972
7.6%
i 972
7.6%
e 972
7.6%
v 972
7.6%
A 972
7.6%
972
7.6%
Other values (11) 1091
8.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9720
76.2%
Uppercase Letter 1944
 
15.2%
Space Separator 972
 
7.6%
Decimal Number 119
 
0.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 24
20.2%
0 23
19.3%
8 12
10.1%
5 12
10.1%
3 10
8.4%
2 10
8.4%
6 8
 
6.7%
4 8
 
6.7%
7 7
 
5.9%
9 5
 
4.2%
Lowercase Letter
ValueCountFrequency (%)
a 1944
20.0%
l 1944
20.0%
o 972
10.0%
b 972
10.0%
i 972
10.0%
e 972
10.0%
v 972
10.0%
t 972
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 972
50.0%
A 972
50.0%
Space Separator
ValueCountFrequency (%)
972
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11664
91.4%
Common 1091
 
8.6%

Most frequent character per script

Common
ValueCountFrequency (%)
972
89.1%
1 24
 
2.2%
0 23
 
2.1%
8 12
 
1.1%
5 12
 
1.1%
3 10
 
0.9%
2 10
 
0.9%
6 8
 
0.7%
4 8
 
0.7%
7 7
 
0.6%
Latin
ValueCountFrequency (%)
a 1944
16.7%
l 1944
16.7%
N 972
8.3%
o 972
8.3%
b 972
8.3%
i 972
8.3%
e 972
8.3%
v 972
8.3%
A 972
8.3%
t 972
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12755
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1944
15.2%
l 1944
15.2%
N 972
7.6%
o 972
7.6%
b 972
7.6%
i 972
7.6%
e 972
7.6%
v 972
7.6%
A 972
7.6%
972
7.6%
Other values (11) 1091
8.6%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:55:22.169625image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:55:22.471373image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct10
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:55:22.673411image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.932
Min length5

Characters and Unicode

Total characters12932
Distinct characters20
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)0.9%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 991
49.8%
available 991
49.8%
153067 1
 
0.1%
232000 1
 
0.1%
211000 1
 
0.1%
90550 1
 
0.1%
252000 1
 
0.1%
53856 1
 
0.1%
87106 1
 
0.1%
83500 1
 
0.1%
2023-12-09T20:55:23.010723image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1982
15.3%
l 1982
15.3%
N 991
7.7%
o 991
7.7%
b 991
7.7%
i 991
7.7%
e 991
7.7%
v 991
7.7%
A 991
7.7%
991
7.7%
Other values (10) 1040
8.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9910
76.6%
Uppercase Letter 1982
 
15.3%
Space Separator 991
 
7.7%
Decimal Number 49
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 17
34.7%
5 8
16.3%
2 5
 
10.2%
1 4
 
8.2%
3 4
 
8.2%
8 4
 
8.2%
6 3
 
6.1%
7 2
 
4.1%
9 2
 
4.1%
Lowercase Letter
ValueCountFrequency (%)
a 1982
20.0%
l 1982
20.0%
o 991
10.0%
b 991
10.0%
i 991
10.0%
e 991
10.0%
v 991
10.0%
t 991
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 991
50.0%
A 991
50.0%
Space Separator
ValueCountFrequency (%)
991
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11892
92.0%
Common 1040
 
8.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1982
16.7%
l 1982
16.7%
N 991
8.3%
o 991
8.3%
b 991
8.3%
i 991
8.3%
e 991
8.3%
v 991
8.3%
A 991
8.3%
t 991
8.3%
Common
ValueCountFrequency (%)
991
95.3%
0 17
 
1.6%
5 8
 
0.8%
2 5
 
0.5%
1 4
 
0.4%
3 4
 
0.4%
8 4
 
0.4%
6 3
 
0.3%
7 2
 
0.2%
9 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12932
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1982
15.3%
l 1982
15.3%
N 991
7.7%
o 991
7.7%
b 991
7.7%
i 991
7.7%
e 991
7.7%
v 991
7.7%
A 991
7.7%
991
7.7%
Other values (10) 1040
8.0%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:55:23.197991image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.984
Min length4

Characters and Unicode

Total characters12984
Distinct characters18
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd row5640
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 998
49.9%
available 998
49.9%
129642 1
 
0.1%
5640 1
 
0.1%
2023-12-09T20:55:23.502713image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
e 998
7.7%
o 998
7.7%
i 998
7.7%
b 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (8) 1008
7.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9980
76.9%
Uppercase Letter 1996
 
15.4%
Space Separator 998
 
7.7%
Decimal Number 10
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1996
20.0%
l 1996
20.0%
e 998
10.0%
o 998
10.0%
i 998
10.0%
b 998
10.0%
v 998
10.0%
t 998
10.0%
Decimal Number
ValueCountFrequency (%)
2 2
20.0%
6 2
20.0%
4 2
20.0%
1 1
10.0%
9 1
10.0%
5 1
10.0%
0 1
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 998
50.0%
A 998
50.0%
Space Separator
ValueCountFrequency (%)
998
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11976
92.2%
Common 1008
 
7.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1996
16.7%
l 1996
16.7%
N 998
8.3%
e 998
8.3%
o 998
8.3%
i 998
8.3%
b 998
8.3%
v 998
8.3%
A 998
8.3%
t 998
8.3%
Common
ValueCountFrequency (%)
998
99.0%
2 2
 
0.2%
6 2
 
0.2%
4 2
 
0.2%
1 1
 
0.1%
9 1
 
0.1%
5 1
 
0.1%
0 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12984
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1996
15.4%
l 1996
15.4%
N 998
7.7%
e 998
7.7%
o 998
7.7%
i 998
7.7%
b 998
7.7%
v 998
7.7%
A 998
7.7%
998
7.7%
Other values (8) 1008
7.8%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:55:23.676253image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:55:23.967992image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct30
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T20:55:24.199975image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.733
Min length3

Characters and Unicode

Total characters12733
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)2.8%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 970
49.2%
available 970
49.2%
1100 2
 
0.1%
1500 1
 
0.1%
60713 1
 
0.1%
700 1
 
0.1%
8876 1
 
0.1%
59679 1
 
0.1%
1025 1
 
0.1%
7200 1
 
0.1%
Other values (21) 21
 
1.1%
2023-12-09T20:55:24.554492image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1940
15.2%
l 1940
15.2%
N 970
7.6%
o 970
7.6%
b 970
7.6%
i 970
7.6%
e 970
7.6%
v 970
7.6%
A 970
7.6%
970
7.6%
Other values (11) 1093
8.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9700
76.2%
Uppercase Letter 1940
 
15.2%
Space Separator 970
 
7.6%
Decimal Number 123
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 30
24.4%
1 21
17.1%
5 12
 
9.8%
7 11
 
8.9%
3 10
 
8.1%
4 10
 
8.1%
2 8
 
6.5%
9 7
 
5.7%
8 7
 
5.7%
6 7
 
5.7%
Lowercase Letter
ValueCountFrequency (%)
a 1940
20.0%
l 1940
20.0%
o 970
10.0%
b 970
10.0%
i 970
10.0%
e 970
10.0%
v 970
10.0%
t 970
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 970
50.0%
A 970
50.0%
Space Separator
ValueCountFrequency (%)
970
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11640
91.4%
Common 1093
 
8.6%

Most frequent character per script

Common
ValueCountFrequency (%)
970
88.7%
0 30
 
2.7%
1 21
 
1.9%
5 12
 
1.1%
7 11
 
1.0%
3 10
 
0.9%
4 10
 
0.9%
2 8
 
0.7%
9 7
 
0.6%
8 7
 
0.6%
Latin
ValueCountFrequency (%)
a 1940
16.7%
l 1940
16.7%
N 970
8.3%
o 970
8.3%
b 970
8.3%
i 970
8.3%
e 970
8.3%
v 970
8.3%
A 970
8.3%
t 970
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12733
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1940
15.2%
l 1940
15.2%
N 970
7.6%
o 970
7.6%
b 970
7.6%
i 970
7.6%
e 970
7.6%
v 970
7.6%
A 970
7.6%
970
7.6%
Other values (11) 1093
8.6%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:55:24.737074image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:55:25.029849image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:55:25.203943image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:55:25.493540image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:55:25.661322image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:55:25.951622image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:55:26.125107image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:55:26.419151image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct7
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:55:26.595469image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.952
Min length4

Characters and Unicode

Total characters12952
Distinct characters20
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)0.6%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 994
49.8%
available 994
49.8%
4357 1
 
0.1%
10406 1
 
0.1%
60000 1
 
0.1%
241550 1
 
0.1%
28086 1
 
0.1%
52000 1
 
0.1%
2023-12-09T20:55:26.883411image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1988
15.3%
l 1988
15.3%
N 994
7.7%
o 994
7.7%
b 994
7.7%
i 994
7.7%
e 994
7.7%
v 994
7.7%
A 994
7.7%
994
7.7%
Other values (10) 1024
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9940
76.7%
Uppercase Letter 1988
 
15.3%
Space Separator 994
 
7.7%
Decimal Number 30
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11
36.7%
5 4
 
13.3%
4 3
 
10.0%
6 3
 
10.0%
2 3
 
10.0%
1 2
 
6.7%
8 2
 
6.7%
3 1
 
3.3%
7 1
 
3.3%
Lowercase Letter
ValueCountFrequency (%)
a 1988
20.0%
l 1988
20.0%
o 994
10.0%
b 994
10.0%
i 994
10.0%
e 994
10.0%
v 994
10.0%
t 994
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 994
50.0%
A 994
50.0%
Space Separator
ValueCountFrequency (%)
994
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11928
92.1%
Common 1024
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1988
16.7%
l 1988
16.7%
N 994
8.3%
o 994
8.3%
b 994
8.3%
i 994
8.3%
e 994
8.3%
v 994
8.3%
A 994
8.3%
t 994
8.3%
Common
ValueCountFrequency (%)
994
97.1%
0 11
 
1.1%
5 4
 
0.4%
4 3
 
0.3%
6 3
 
0.3%
2 3
 
0.3%
1 2
 
0.2%
8 2
 
0.2%
3 1
 
0.1%
7 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12952
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1988
15.3%
l 1988
15.3%
N 994
7.7%
o 994
7.7%
b 994
7.7%
i 994
7.7%
e 994
7.7%
v 994
7.7%
A 994
7.7%
994
7.7%
Other values (10) 1024
7.9%
Distinct101
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Memory size67.5 KiB
2023-12-09T20:55:27.229113image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.029
Min length3

Characters and Unicode

Total characters12029
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)9.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 886
47.0%
available 886
47.0%
5000 8
 
0.4%
6000 3
 
0.2%
11000 2
 
0.1%
12000 2
 
0.1%
3000 2
 
0.1%
19000 2
 
0.1%
4600 2
 
0.1%
7873 1
 
0.1%
Other values (92) 92
 
4.9%
2023-12-09T20:55:27.699651image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1772
14.7%
l 1772
14.7%
N 886
7.4%
t 886
7.4%
886
7.4%
A 886
7.4%
v 886
7.4%
i 886
7.4%
b 886
7.4%
e 886
7.4%
Other values (12) 1397
11.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8860
73.7%
Uppercase Letter 1772
 
14.7%
Space Separator 886
 
7.4%
Decimal Number 510
 
4.2%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 148
29.0%
5 55
 
10.8%
1 54
 
10.6%
2 50
 
9.8%
4 43
 
8.4%
6 42
 
8.2%
3 38
 
7.5%
7 32
 
6.3%
9 24
 
4.7%
8 24
 
4.7%
Lowercase Letter
ValueCountFrequency (%)
a 1772
20.0%
l 1772
20.0%
t 886
10.0%
v 886
10.0%
i 886
10.0%
b 886
10.0%
e 886
10.0%
o 886
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 886
50.0%
A 886
50.0%
Space Separator
ValueCountFrequency (%)
886
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10632
88.4%
Common 1397
 
11.6%

Most frequent character per script

Common
ValueCountFrequency (%)
886
63.4%
0 148
 
10.6%
5 55
 
3.9%
1 54
 
3.9%
2 50
 
3.6%
4 43
 
3.1%
6 42
 
3.0%
3 38
 
2.7%
7 32
 
2.3%
9 24
 
1.7%
Other values (2) 25
 
1.8%
Latin
ValueCountFrequency (%)
a 1772
16.7%
l 1772
16.7%
N 886
8.3%
t 886
8.3%
A 886
8.3%
v 886
8.3%
i 886
8.3%
b 886
8.3%
e 886
8.3%
o 886
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12029
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1772
14.7%
l 1772
14.7%
N 886
7.4%
t 886
7.4%
886
7.4%
A 886
7.4%
v 886
7.4%
i 886
7.4%
b 886
7.4%
e 886
7.4%
Other values (12) 1397
11.6%
Distinct18
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size68.4 KiB
2023-12-09T20:55:27.923244image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.895
Min length6

Characters and Unicode

Total characters12895
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)1.7%

Sample

1st rowNot Available
2nd rowNot Available
3rd row7.08885
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 983
49.6%
available 983
49.6%
2.56904 1
 
0.1%
4.19287 1
 
0.1%
5.52395 1
 
0.1%
2.85821 1
 
0.1%
9.33707 1
 
0.1%
7.08885 1
 
0.1%
1.9084 1
 
0.1%
5.95238 1
 
0.1%
Other values (9) 9
 
0.5%
2023-12-09T20:55:28.265409image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1966
15.2%
l 1966
15.2%
N 983
7.6%
t 983
7.6%
983
7.6%
A 983
7.6%
v 983
7.6%
i 983
7.6%
b 983
7.6%
e 983
7.6%
Other values (12) 1099
8.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9830
76.2%
Uppercase Letter 1966
 
15.2%
Space Separator 983
 
7.6%
Decimal Number 99
 
0.8%
Other Punctuation 17
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 13
13.1%
1 13
13.1%
5 12
12.1%
2 12
12.1%
3 11
11.1%
9 9
9.1%
0 8
8.1%
6 8
8.1%
4 7
7.1%
7 6
6.1%
Lowercase Letter
ValueCountFrequency (%)
a 1966
20.0%
l 1966
20.0%
t 983
10.0%
v 983
10.0%
i 983
10.0%
b 983
10.0%
e 983
10.0%
o 983
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 983
50.0%
A 983
50.0%
Space Separator
ValueCountFrequency (%)
983
100.0%
Other Punctuation
ValueCountFrequency (%)
. 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11796
91.5%
Common 1099
 
8.5%

Most frequent character per script

Common
ValueCountFrequency (%)
983
89.4%
. 17
 
1.5%
8 13
 
1.2%
1 13
 
1.2%
5 12
 
1.1%
2 12
 
1.1%
3 11
 
1.0%
9 9
 
0.8%
0 8
 
0.7%
6 8
 
0.7%
Other values (2) 13
 
1.2%
Latin
ValueCountFrequency (%)
a 1966
16.7%
l 1966
16.7%
N 983
8.3%
t 983
8.3%
A 983
8.3%
v 983
8.3%
i 983
8.3%
b 983
8.3%
e 983
8.3%
o 983
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12895
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1966
15.2%
l 1966
15.2%
N 983
7.6%
t 983
7.6%
983
7.6%
A 983
7.6%
v 983
7.6%
i 983
7.6%
b 983
7.6%
e 983
7.6%
Other values (12) 1099
8.5%
Distinct14
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:55:28.460504image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.824
Min length2

Characters and Unicode

Total characters12824
Distinct characters21
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)0.9%

Sample

1st rowNot Available
2nd rowNot Available
3rd row112
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 983
49.6%
available 983
49.6%
40 2
 
0.1%
112 2
 
0.1%
77 2
 
0.1%
168 2
 
0.1%
68 1
 
0.1%
126 1
 
0.1%
70 1
 
0.1%
118 1
 
0.1%
Other values (5) 5
 
0.3%
2023-12-09T20:55:28.760579image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1966
15.3%
l 1966
15.3%
N 983
7.7%
o 983
7.7%
b 983
7.7%
i 983
7.7%
e 983
7.7%
v 983
7.7%
A 983
7.7%
983
7.7%
Other values (11) 1028
8.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9830
76.7%
Uppercase Letter 1966
 
15.3%
Space Separator 983
 
7.7%
Decimal Number 44
 
0.3%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 15
34.1%
8 6
 
13.6%
0 5
 
11.4%
7 5
 
11.4%
6 5
 
11.4%
4 3
 
6.8%
2 3
 
6.8%
3 1
 
2.3%
9 1
 
2.3%
Lowercase Letter
ValueCountFrequency (%)
a 1966
20.0%
l 1966
20.0%
o 983
10.0%
b 983
10.0%
i 983
10.0%
e 983
10.0%
v 983
10.0%
t 983
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 983
50.0%
A 983
50.0%
Space Separator
ValueCountFrequency (%)
983
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11796
92.0%
Common 1028
 
8.0%

Most frequent character per script

Common
ValueCountFrequency (%)
983
95.6%
1 15
 
1.5%
8 6
 
0.6%
0 5
 
0.5%
7 5
 
0.5%
6 5
 
0.5%
4 3
 
0.3%
2 3
 
0.3%
3 1
 
0.1%
. 1
 
0.1%
Latin
ValueCountFrequency (%)
a 1966
16.7%
l 1966
16.7%
N 983
8.3%
o 983
8.3%
b 983
8.3%
i 983
8.3%
e 983
8.3%
v 983
8.3%
A 983
8.3%
t 983
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12824
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1966
15.3%
l 1966
15.3%
N 983
7.7%
o 983
7.7%
b 983
7.7%
i 983
7.7%
e 983
7.7%
v 983
7.7%
A 983
7.7%
983
7.7%
Other values (11) 1028
8.0%
Distinct27
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size67.3 KiB
2023-12-09T20:55:28.975151image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.775
Min length1

Characters and Unicode

Total characters11775
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)2.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 886
47.0%
available 886
47.0%
0 89
 
4.7%
0.06667 1
 
0.1%
0.14784 1
 
0.1%
0.01106 1
 
0.1%
0.03181 1
 
0.1%
0.58824 1
 
0.1%
0.18756 1
 
0.1%
0.74074 1
 
0.1%
Other values (18) 18
 
1.0%
2023-12-09T20:55:29.311998image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1772
15.0%
l 1772
15.0%
N 886
7.5%
o 886
7.5%
t 886
7.5%
886
7.5%
A 886
7.5%
v 886
7.5%
i 886
7.5%
b 886
7.5%
Other values (12) 1143
9.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8860
75.2%
Uppercase Letter 1772
 
15.0%
Space Separator 886
 
7.5%
Decimal Number 232
 
2.0%
Other Punctuation 25
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 126
54.3%
1 23
 
9.9%
6 16
 
6.9%
4 14
 
6.0%
8 12
 
5.2%
7 11
 
4.7%
5 10
 
4.3%
2 8
 
3.4%
9 7
 
3.0%
3 5
 
2.2%
Lowercase Letter
ValueCountFrequency (%)
a 1772
20.0%
l 1772
20.0%
o 886
10.0%
t 886
10.0%
v 886
10.0%
i 886
10.0%
b 886
10.0%
e 886
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 886
50.0%
A 886
50.0%
Space Separator
ValueCountFrequency (%)
886
100.0%
Other Punctuation
ValueCountFrequency (%)
. 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10632
90.3%
Common 1143
 
9.7%

Most frequent character per script

Common
ValueCountFrequency (%)
886
77.5%
0 126
 
11.0%
. 25
 
2.2%
1 23
 
2.0%
6 16
 
1.4%
4 14
 
1.2%
8 12
 
1.0%
7 11
 
1.0%
5 10
 
0.9%
2 8
 
0.7%
Other values (2) 12
 
1.0%
Latin
ValueCountFrequency (%)
a 1772
16.7%
l 1772
16.7%
N 886
8.3%
o 886
8.3%
t 886
8.3%
A 886
8.3%
v 886
8.3%
i 886
8.3%
b 886
8.3%
e 886
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11775
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1772
15.0%
l 1772
15.0%
N 886
7.5%
o 886
7.5%
t 886
7.5%
886
7.5%
A 886
7.5%
v 886
7.5%
i 886
7.5%
b 886
7.5%
Other values (12) 1143
9.7%
Distinct18
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size67.4 KiB
2023-12-09T20:55:29.511129image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.84
Min length1

Characters and Unicode

Total characters11840
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)1.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 886
47.0%
available 886
47.0%
100 80
 
4.2%
0 9
 
0.5%
90 7
 
0.4%
80 3
 
0.2%
50 3
 
0.2%
10 1
 
0.1%
50.42 1
 
0.1%
18.7 1
 
0.1%
Other values (9) 9
 
0.5%
2023-12-09T20:55:29.824422image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1772
15.0%
l 1772
15.0%
N 886
7.5%
t 886
7.5%
886
7.5%
A 886
7.5%
v 886
7.5%
i 886
7.5%
b 886
7.5%
e 886
7.5%
Other values (12) 1208
10.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8860
74.8%
Uppercase Letter 1772
 
15.0%
Space Separator 886
 
7.5%
Decimal Number 314
 
2.7%
Other Punctuation 8
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 190
60.5%
1 84
26.8%
9 11
 
3.5%
8 8
 
2.5%
7 6
 
1.9%
5 5
 
1.6%
6 5
 
1.6%
2 2
 
0.6%
4 2
 
0.6%
3 1
 
0.3%
Lowercase Letter
ValueCountFrequency (%)
a 1772
20.0%
l 1772
20.0%
t 886
10.0%
v 886
10.0%
i 886
10.0%
b 886
10.0%
e 886
10.0%
o 886
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 886
50.0%
A 886
50.0%
Space Separator
ValueCountFrequency (%)
886
100.0%
Other Punctuation
ValueCountFrequency (%)
. 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10632
89.8%
Common 1208
 
10.2%

Most frequent character per script

Common
ValueCountFrequency (%)
886
73.3%
0 190
 
15.7%
1 84
 
7.0%
9 11
 
0.9%
8 8
 
0.7%
. 8
 
0.7%
7 6
 
0.5%
5 5
 
0.4%
6 5
 
0.4%
2 2
 
0.2%
Other values (2) 3
 
0.2%
Latin
ValueCountFrequency (%)
a 1772
16.7%
l 1772
16.7%
N 886
8.3%
t 886
8.3%
A 886
8.3%
v 886
8.3%
i 886
8.3%
b 886
8.3%
e 886
8.3%
o 886
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11840
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1772
15.0%
l 1772
15.0%
N 886
7.5%
t 886
7.5%
886
7.5%
A 886
7.5%
v 886
7.5%
i 886
7.5%
b 886
7.5%
e 886
7.5%
Other values (12) 1208
10.2%
Distinct37
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size67.3 KiB
2023-12-09T20:55:30.059223image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.835
Min length1

Characters and Unicode

Total characters11835
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)3.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 886
47.0%
available 886
47.0%
0 78
 
4.1%
0.2 2
 
0.1%
0.29412 1
 
0.1%
0.21739 1
 
0.1%
1.16667 1
 
0.1%
0.01625 1
 
0.1%
1.48148 1
 
0.1%
0.09624 1
 
0.1%
Other values (28) 28
 
1.5%
2023-12-09T20:55:30.428572image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1772
15.0%
l 1772
15.0%
N 886
7.5%
o 886
7.5%
t 886
7.5%
886
7.5%
A 886
7.5%
v 886
7.5%
i 886
7.5%
b 886
7.5%
Other values (12) 1203
10.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8860
74.9%
Uppercase Letter 1772
 
15.0%
Space Separator 886
 
7.5%
Decimal Number 281
 
2.4%
Other Punctuation 36
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 117
41.6%
1 33
 
11.7%
2 22
 
7.8%
6 20
 
7.1%
9 18
 
6.4%
8 17
 
6.0%
3 14
 
5.0%
4 14
 
5.0%
5 14
 
5.0%
7 12
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
a 1772
20.0%
l 1772
20.0%
o 886
10.0%
t 886
10.0%
v 886
10.0%
i 886
10.0%
b 886
10.0%
e 886
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 886
50.0%
A 886
50.0%
Space Separator
ValueCountFrequency (%)
886
100.0%
Other Punctuation
ValueCountFrequency (%)
. 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10632
89.8%
Common 1203
 
10.2%

Most frequent character per script

Common
ValueCountFrequency (%)
886
73.6%
0 117
 
9.7%
. 36
 
3.0%
1 33
 
2.7%
2 22
 
1.8%
6 20
 
1.7%
9 18
 
1.5%
8 17
 
1.4%
3 14
 
1.2%
4 14
 
1.2%
Other values (2) 26
 
2.2%
Latin
ValueCountFrequency (%)
a 1772
16.7%
l 1772
16.7%
N 886
8.3%
o 886
8.3%
t 886
8.3%
A 886
8.3%
v 886
8.3%
i 886
8.3%
b 886
8.3%
e 886
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11835
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1772
15.0%
l 1772
15.0%
N 886
7.5%
o 886
7.5%
t 886
7.5%
886
7.5%
A 886
7.5%
v 886
7.5%
i 886
7.5%
b 886
7.5%
Other values (12) 1203
10.2%
Distinct7
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size67.1 KiB
2023-12-09T20:55:30.613585image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.633
Min length1

Characters and Unicode

Total characters11633
Distinct characters16
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 886
47.0%
available 886
47.0%
0 89
 
4.7%
1 15
 
0.8%
2 6
 
0.3%
3 2
 
0.1%
11 1
 
0.1%
8 1
 
0.1%
2023-12-09T20:55:30.907993image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1772
15.2%
l 1772
15.2%
N 886
7.6%
o 886
7.6%
t 886
7.6%
886
7.6%
A 886
7.6%
v 886
7.6%
i 886
7.6%
b 886
7.6%
Other values (6) 1001
8.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8860
76.2%
Uppercase Letter 1772
 
15.2%
Space Separator 886
 
7.6%
Decimal Number 115
 
1.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1772
20.0%
l 1772
20.0%
o 886
10.0%
t 886
10.0%
v 886
10.0%
i 886
10.0%
b 886
10.0%
e 886
10.0%
Decimal Number
ValueCountFrequency (%)
0 89
77.4%
1 17
 
14.8%
2 6
 
5.2%
3 2
 
1.7%
8 1
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
N 886
50.0%
A 886
50.0%
Space Separator
ValueCountFrequency (%)
886
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10632
91.4%
Common 1001
 
8.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1772
16.7%
l 1772
16.7%
N 886
8.3%
o 886
8.3%
t 886
8.3%
A 886
8.3%
v 886
8.3%
i 886
8.3%
b 886
8.3%
e 886
8.3%
Common
ValueCountFrequency (%)
886
88.5%
0 89
 
8.9%
1 17
 
1.7%
2 6
 
0.6%
3 2
 
0.2%
8 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11633
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1772
15.2%
l 1772
15.2%
N 886
7.6%
o 886
7.6%
t 886
7.6%
886
7.6%
A 886
7.6%
v 886
7.6%
i 886
7.6%
b 886
7.6%
Other values (6) 1001
8.6%
Distinct13
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size67.2 KiB
2023-12-09T20:55:31.101061image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.642
Min length1

Characters and Unicode

Total characters11642
Distinct characters19
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 886
47.0%
available 886
47.0%
0 78
 
4.1%
1 10
 
0.5%
2 7
 
0.4%
5 6
 
0.3%
3 4
 
0.2%
6 2
 
0.1%
16 2
 
0.1%
1.34 1
 
0.1%
Other values (4) 4
 
0.2%
2023-12-09T20:55:31.406026image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1772
15.2%
l 1772
15.2%
N 886
7.6%
e 886
7.6%
o 886
7.6%
i 886
7.6%
b 886
7.6%
v 886
7.6%
A 886
7.6%
886
7.6%
Other values (9) 1010
8.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8860
76.1%
Uppercase Letter 1772
 
15.2%
Space Separator 886
 
7.6%
Decimal Number 122
 
1.0%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1772
20.0%
l 1772
20.0%
e 886
10.0%
o 886
10.0%
i 886
10.0%
b 886
10.0%
v 886
10.0%
t 886
10.0%
Decimal Number
ValueCountFrequency (%)
0 79
64.8%
1 17
 
13.9%
2 8
 
6.6%
5 7
 
5.7%
3 5
 
4.1%
6 4
 
3.3%
4 2
 
1.6%
Uppercase Letter
ValueCountFrequency (%)
N 886
50.0%
A 886
50.0%
Space Separator
ValueCountFrequency (%)
886
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10632
91.3%
Common 1010
 
8.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1772
16.7%
l 1772
16.7%
N 886
8.3%
e 886
8.3%
o 886
8.3%
i 886
8.3%
b 886
8.3%
v 886
8.3%
A 886
8.3%
t 886
8.3%
Common
ValueCountFrequency (%)
886
87.7%
0 79
 
7.8%
1 17
 
1.7%
2 8
 
0.8%
5 7
 
0.7%
3 5
 
0.5%
6 4
 
0.4%
. 2
 
0.2%
4 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11642
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1772
15.2%
l 1772
15.2%
N 886
7.6%
e 886
7.6%
o 886
7.6%
i 886
7.6%
b 886
7.6%
v 886
7.6%
A 886
7.6%
886
7.6%
Other values (9) 1010
8.7%
Distinct97
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size67.3 KiB
2023-12-09T20:55:31.735359image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.836
Min length1

Characters and Unicode

Total characters11836
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique88 ?
Unique (%)8.8%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th row35000
5th row49725
ValueCountFrequency (%)
not 871
46.6%
available 871
46.6%
0 21
 
1.1%
20000 5
 
0.3%
10000 3
 
0.2%
268200 3
 
0.2%
4768 3
 
0.2%
1520 2
 
0.1%
14000 2
 
0.1%
41000 2
 
0.1%
Other values (88) 88
 
4.7%
2023-12-09T20:55:32.183212image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1742
14.7%
l 1742
14.7%
N 871
7.4%
o 871
7.4%
b 871
7.4%
i 871
7.4%
e 871
7.4%
v 871
7.4%
A 871
7.4%
871
7.4%
Other values (11) 1384
11.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8710
73.6%
Uppercase Letter 1742
 
14.7%
Space Separator 871
 
7.4%
Decimal Number 513
 
4.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 151
29.4%
1 56
 
10.9%
2 51
 
9.9%
4 49
 
9.6%
7 42
 
8.2%
6 40
 
7.8%
5 38
 
7.4%
8 37
 
7.2%
3 32
 
6.2%
9 17
 
3.3%
Lowercase Letter
ValueCountFrequency (%)
a 1742
20.0%
l 1742
20.0%
o 871
10.0%
b 871
10.0%
i 871
10.0%
e 871
10.0%
v 871
10.0%
t 871
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 871
50.0%
A 871
50.0%
Space Separator
ValueCountFrequency (%)
871
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10452
88.3%
Common 1384
 
11.7%

Most frequent character per script

Common
ValueCountFrequency (%)
871
62.9%
0 151
 
10.9%
1 56
 
4.0%
2 51
 
3.7%
4 49
 
3.5%
7 42
 
3.0%
6 40
 
2.9%
5 38
 
2.7%
8 37
 
2.7%
3 32
 
2.3%
Latin
ValueCountFrequency (%)
a 1742
16.7%
l 1742
16.7%
N 871
8.3%
o 871
8.3%
b 871
8.3%
i 871
8.3%
e 871
8.3%
v 871
8.3%
A 871
8.3%
t 871
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11836
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1742
14.7%
l 1742
14.7%
N 871
7.4%
o 871
7.4%
b 871
7.4%
i 871
7.4%
e 871
7.4%
v 871
7.4%
A 871
7.4%
871
7.4%
Other values (11) 1384
11.7%
Distinct30
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size67.1 KiB
2023-12-09T20:55:32.408842image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.583
Min length1

Characters and Unicode

Total characters11583
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)2.6%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th row0
5th row0
ValueCountFrequency (%)
not 871
46.6%
available 871
46.6%
0 94
 
5.0%
20000 7
 
0.4%
1989 2
 
0.1%
8109 1
 
0.1%
199400 1
 
0.1%
1530 1
 
0.1%
12852 1
 
0.1%
269800 1
 
0.1%
Other values (21) 21
 
1.1%
2023-12-09T20:55:32.738612image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1742
15.0%
l 1742
15.0%
N 871
7.5%
o 871
7.5%
b 871
7.5%
i 871
7.5%
e 871
7.5%
v 871
7.5%
A 871
7.5%
871
7.5%
Other values (11) 1131
9.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8710
75.2%
Uppercase Letter 1742
 
15.0%
Space Separator 871
 
7.5%
Decimal Number 260
 
2.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 156
60.0%
1 19
 
7.3%
2 17
 
6.5%
5 13
 
5.0%
9 12
 
4.6%
3 12
 
4.6%
8 11
 
4.2%
6 9
 
3.5%
4 9
 
3.5%
7 2
 
0.8%
Lowercase Letter
ValueCountFrequency (%)
a 1742
20.0%
l 1742
20.0%
o 871
10.0%
b 871
10.0%
i 871
10.0%
e 871
10.0%
v 871
10.0%
t 871
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 871
50.0%
A 871
50.0%
Space Separator
ValueCountFrequency (%)
871
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10452
90.2%
Common 1131
 
9.8%

Most frequent character per script

Common
ValueCountFrequency (%)
871
77.0%
0 156
 
13.8%
1 19
 
1.7%
2 17
 
1.5%
5 13
 
1.1%
9 12
 
1.1%
3 12
 
1.1%
8 11
 
1.0%
6 9
 
0.8%
4 9
 
0.8%
Latin
ValueCountFrequency (%)
a 1742
16.7%
l 1742
16.7%
N 871
8.3%
o 871
8.3%
b 871
8.3%
i 871
8.3%
e 871
8.3%
v 871
8.3%
A 871
8.3%
t 871
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11583
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1742
15.0%
l 1742
15.0%
N 871
7.5%
o 871
7.5%
b 871
7.5%
i 871
7.5%
e 871
7.5%
v 871
7.5%
A 871
7.5%
871
7.5%
Other values (11) 1131
9.8%
Distinct48
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size68.1 KiB
2023-12-09T20:55:33.004494image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.605
Min length1

Characters and Unicode

Total characters12605
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)4.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd row239898
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 948
48.7%
available 948
48.7%
1 3
 
0.2%
100000 2
 
0.1%
52222 2
 
0.1%
200000 2
 
0.1%
239898 1
 
0.1%
183235 1
 
0.1%
1600000 1
 
0.1%
284292 1
 
0.1%
Other values (39) 39
 
2.0%
2023-12-09T20:55:33.422866image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1896
15.0%
l 1896
15.0%
N 948
7.5%
o 948
7.5%
b 948
7.5%
i 948
7.5%
e 948
7.5%
v 948
7.5%
A 948
7.5%
948
7.5%
Other values (11) 1229
9.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9480
75.2%
Uppercase Letter 1896
 
15.0%
Space Separator 948
 
7.5%
Decimal Number 281
 
2.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 80
28.5%
2 38
13.5%
1 31
 
11.0%
5 25
 
8.9%
7 21
 
7.5%
4 20
 
7.1%
8 17
 
6.0%
9 17
 
6.0%
6 16
 
5.7%
3 16
 
5.7%
Lowercase Letter
ValueCountFrequency (%)
a 1896
20.0%
l 1896
20.0%
o 948
10.0%
b 948
10.0%
i 948
10.0%
e 948
10.0%
v 948
10.0%
t 948
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 948
50.0%
A 948
50.0%
Space Separator
ValueCountFrequency (%)
948
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11376
90.2%
Common 1229
 
9.8%

Most frequent character per script

Common
ValueCountFrequency (%)
948
77.1%
0 80
 
6.5%
2 38
 
3.1%
1 31
 
2.5%
5 25
 
2.0%
7 21
 
1.7%
4 20
 
1.6%
8 17
 
1.4%
9 17
 
1.4%
6 16
 
1.3%
Latin
ValueCountFrequency (%)
a 1896
16.7%
l 1896
16.7%
N 948
8.3%
o 948
8.3%
b 948
8.3%
i 948
8.3%
e 948
8.3%
v 948
8.3%
A 948
8.3%
t 948
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12605
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1896
15.0%
l 1896
15.0%
N 948
7.5%
o 948
7.5%
b 948
7.5%
i 948
7.5%
e 948
7.5%
v 948
7.5%
A 948
7.5%
948
7.5%
Other values (11) 1229
9.8%
Distinct15
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size68.3 KiB
2023-12-09T20:55:33.622062image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.791
Min length1

Characters and Unicode

Total characters12791
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)1.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd row1
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 980
49.5%
available 980
49.5%
0 7
 
0.4%
700 1
 
0.1%
971 1
 
0.1%
1 1
 
0.1%
632 1
 
0.1%
3000 1
 
0.1%
2780 1
 
0.1%
1000 1
 
0.1%
Other values (6) 6
 
0.3%
2023-12-09T20:55:33.925718image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1960
15.3%
l 1960
15.3%
N 980
7.7%
o 980
7.7%
b 980
7.7%
i 980
7.7%
e 980
7.7%
v 980
7.7%
A 980
7.7%
980
7.7%
Other values (11) 1031
8.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9800
76.6%
Uppercase Letter 1960
 
15.3%
Space Separator 980
 
7.7%
Decimal Number 51
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 27
52.9%
1 5
 
9.8%
5 4
 
7.8%
7 3
 
5.9%
2 3
 
5.9%
8 3
 
5.9%
3 2
 
3.9%
4 2
 
3.9%
9 1
 
2.0%
6 1
 
2.0%
Lowercase Letter
ValueCountFrequency (%)
a 1960
20.0%
l 1960
20.0%
o 980
10.0%
b 980
10.0%
i 980
10.0%
e 980
10.0%
v 980
10.0%
t 980
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 980
50.0%
A 980
50.0%
Space Separator
ValueCountFrequency (%)
980
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11760
91.9%
Common 1031
 
8.1%

Most frequent character per script

Common
ValueCountFrequency (%)
980
95.1%
0 27
 
2.6%
1 5
 
0.5%
5 4
 
0.4%
7 3
 
0.3%
2 3
 
0.3%
8 3
 
0.3%
3 2
 
0.2%
4 2
 
0.2%
9 1
 
0.1%
Latin
ValueCountFrequency (%)
a 1960
16.7%
l 1960
16.7%
N 980
8.3%
o 980
8.3%
b 980
8.3%
i 980
8.3%
e 980
8.3%
v 980
8.3%
A 980
8.3%
t 980
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12791
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1960
15.3%
l 1960
15.3%
N 980
7.7%
o 980
7.7%
b 980
7.7%
i 980
7.7%
e 980
7.7%
v 980
7.7%
A 980
7.7%
980
7.7%
Other values (11) 1031
8.1%
Distinct53
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size68.2 KiB
2023-12-09T20:55:34.210882image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.667
Min length3

Characters and Unicode

Total characters12667
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)5.2%

Sample

1st rowNot Available
2nd rowNot Available
3rd row1.65904
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 948
48.7%
available 948
48.7%
1.94929 1
 
0.1%
173000 1
 
0.1%
2.2976 1
 
0.1%
1.43925 1
 
0.1%
167000 1
 
0.1%
2.14364 1
 
0.1%
273000 1
 
0.1%
5.22222 1
 
0.1%
Other values (44) 44
 
2.3%
2023-12-09T20:55:34.620019image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1896
15.0%
l 1896
15.0%
N 948
7.5%
t 948
7.5%
948
7.5%
A 948
7.5%
v 948
7.5%
i 948
7.5%
b 948
7.5%
e 948
7.5%
Other values (12) 1291
10.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9480
74.8%
Uppercase Letter 1896
 
15.0%
Space Separator 948
 
7.5%
Decimal Number 294
 
2.3%
Other Punctuation 49
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 51
17.3%
2 47
16.0%
0 34
11.6%
4 29
9.9%
6 26
8.8%
7 24
8.2%
8 23
7.8%
9 21
7.1%
5 20
 
6.8%
3 19
 
6.5%
Lowercase Letter
ValueCountFrequency (%)
a 1896
20.0%
l 1896
20.0%
t 948
10.0%
v 948
10.0%
i 948
10.0%
b 948
10.0%
e 948
10.0%
o 948
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 948
50.0%
A 948
50.0%
Space Separator
ValueCountFrequency (%)
948
100.0%
Other Punctuation
ValueCountFrequency (%)
. 49
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11376
89.8%
Common 1291
 
10.2%

Most frequent character per script

Common
ValueCountFrequency (%)
948
73.4%
1 51
 
4.0%
. 49
 
3.8%
2 47
 
3.6%
0 34
 
2.6%
4 29
 
2.2%
6 26
 
2.0%
7 24
 
1.9%
8 23
 
1.8%
9 21
 
1.6%
Other values (2) 39
 
3.0%
Latin
ValueCountFrequency (%)
a 1896
16.7%
l 1896
16.7%
N 948
8.3%
t 948
8.3%
A 948
8.3%
v 948
8.3%
i 948
8.3%
b 948
8.3%
e 948
8.3%
o 948
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12667
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1896
15.0%
l 1896
15.0%
N 948
7.5%
t 948
7.5%
948
7.5%
A 948
7.5%
v 948
7.5%
i 948
7.5%
b 948
7.5%
e 948
7.5%
Other values (12) 1291
10.2%
Distinct47
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size68.1 KiB
2023-12-09T20:55:34.892229image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.646
Min length3

Characters and Unicode

Total characters12646
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)4.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd row0.83369
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 948
48.7%
available 948
48.7%
0.32 4
 
0.2%
1000 3
 
0.2%
0.5 2
 
0.1%
0.36 1
 
0.1%
0.43372 1
 
0.1%
0.83369 1
 
0.1%
0.39241 1
 
0.1%
1.28695 1
 
0.1%
Other values (38) 38
 
2.0%
2023-12-09T20:55:35.276438image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1896
15.0%
l 1896
15.0%
N 948
7.5%
o 948
7.5%
t 948
7.5%
948
7.5%
A 948
7.5%
v 948
7.5%
i 948
7.5%
b 948
7.5%
Other values (12) 1270
10.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9480
75.0%
Uppercase Letter 1896
 
15.0%
Space Separator 948
 
7.5%
Decimal Number 273
 
2.2%
Other Punctuation 49
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 68
24.9%
2 31
11.4%
1 30
11.0%
3 29
10.6%
5 22
 
8.1%
6 20
 
7.3%
4 20
 
7.3%
9 19
 
7.0%
8 18
 
6.6%
7 16
 
5.9%
Lowercase Letter
ValueCountFrequency (%)
a 1896
20.0%
l 1896
20.0%
o 948
10.0%
t 948
10.0%
v 948
10.0%
i 948
10.0%
b 948
10.0%
e 948
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 948
50.0%
A 948
50.0%
Space Separator
ValueCountFrequency (%)
948
100.0%
Other Punctuation
ValueCountFrequency (%)
. 49
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11376
90.0%
Common 1270
 
10.0%

Most frequent character per script

Common
ValueCountFrequency (%)
948
74.6%
0 68
 
5.4%
. 49
 
3.9%
2 31
 
2.4%
1 30
 
2.4%
3 29
 
2.3%
5 22
 
1.7%
6 20
 
1.6%
4 20
 
1.6%
9 19
 
1.5%
Other values (2) 34
 
2.7%
Latin
ValueCountFrequency (%)
a 1896
16.7%
l 1896
16.7%
N 948
8.3%
o 948
8.3%
t 948
8.3%
A 948
8.3%
v 948
8.3%
i 948
8.3%
b 948
8.3%
e 948
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12646
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1896
15.0%
l 1896
15.0%
N 948
7.5%
o 948
7.5%
t 948
7.5%
948
7.5%
A 948
7.5%
v 948
7.5%
i 948
7.5%
b 948
7.5%
Other values (12) 1270
10.0%
Distinct8
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size68.0 KiB
2023-12-09T20:55:35.463543image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.457
Min length1

Characters and Unicode

Total characters12457
Distinct characters18
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd row100
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 948
48.7%
available 948
48.7%
100 30
 
1.5%
90 14
 
0.7%
80 4
 
0.2%
50 1
 
0.1%
0 1
 
0.1%
70 1
 
0.1%
60 1
 
0.1%
2023-12-09T20:55:35.750371image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1896
15.2%
l 1896
15.2%
N 948
7.6%
e 948
7.6%
o 948
7.6%
i 948
7.6%
b 948
7.6%
v 948
7.6%
A 948
7.6%
948
7.6%
Other values (8) 1081
8.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9480
76.1%
Uppercase Letter 1896
 
15.2%
Space Separator 948
 
7.6%
Decimal Number 133
 
1.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1896
20.0%
l 1896
20.0%
e 948
10.0%
o 948
10.0%
i 948
10.0%
b 948
10.0%
v 948
10.0%
t 948
10.0%
Decimal Number
ValueCountFrequency (%)
0 82
61.7%
1 30
 
22.6%
9 14
 
10.5%
8 4
 
3.0%
5 1
 
0.8%
7 1
 
0.8%
6 1
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
N 948
50.0%
A 948
50.0%
Space Separator
ValueCountFrequency (%)
948
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11376
91.3%
Common 1081
 
8.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1896
16.7%
l 1896
16.7%
N 948
8.3%
e 948
8.3%
o 948
8.3%
i 948
8.3%
b 948
8.3%
v 948
8.3%
A 948
8.3%
t 948
8.3%
Common
ValueCountFrequency (%)
948
87.7%
0 82
 
7.6%
1 30
 
2.8%
9 14
 
1.3%
8 4
 
0.4%
5 1
 
0.1%
7 1
 
0.1%
6 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12457
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1896
15.2%
l 1896
15.2%
N 948
7.6%
e 948
7.6%
o 948
7.6%
i 948
7.6%
b 948
7.6%
v 948
7.6%
A 948
7.6%
948
7.6%
Other values (8) 1081
8.7%

estimated_data_flag_1
Text

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:55:35.918669image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters13000
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 1000
50.0%
available 1000
50.0%
2023-12-09T20:55:36.191590image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10000
76.9%
Uppercase Letter 2000
 
15.4%
Space Separator 1000
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2000
20.0%
l 2000
20.0%
o 1000
10.0%
t 1000
10.0%
v 1000
10.0%
i 1000
10.0%
b 1000
10.0%
e 1000
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 1000
50.0%
A 1000
50.0%
Space Separator
ValueCountFrequency (%)
1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12000
92.3%
Common 1000
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2000
16.7%
l 2000
16.7%
N 1000
8.3%
o 1000
8.3%
t 1000
8.3%
A 1000
8.3%
v 1000
8.3%
i 1000
8.3%
b 1000
8.3%
e 1000
8.3%
Common
ValueCountFrequency (%)
1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2000
15.4%
l 2000
15.4%
N 1000
7.7%
o 1000
7.7%
t 1000
7.7%
1000
7.7%
A 1000
7.7%
v 1000
7.7%
i 1000
7.7%
b 1000
7.7%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size57.8 KiB
2023-12-09T20:55:36.322930image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length14
Median length2
Mean length2.012
Min length2

Characters and Unicode

Total characters2012
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowOk
2nd rowOk
3rd rowOk
4th rowOk
5th rowOk
ValueCountFrequency (%)
ok 999
99.8%
possible 1
 
0.1%
issue 1
 
0.1%
2023-12-09T20:55:36.564265image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
O 999
49.7%
k 999
49.7%
s 4
 
0.2%
e 2
 
0.1%
P 1
 
< 0.1%
o 1
 
< 0.1%
i 1
 
< 0.1%
b 1
 
< 0.1%
l 1
 
< 0.1%
1
 
< 0.1%
Other values (2) 2
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1010
50.2%
Uppercase Letter 1001
49.8%
Space Separator 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
k 999
98.9%
s 4
 
0.4%
e 2
 
0.2%
o 1
 
0.1%
i 1
 
0.1%
b 1
 
0.1%
l 1
 
0.1%
u 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
O 999
99.8%
P 1
 
0.1%
I 1
 
0.1%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2011
> 99.9%
Common 1
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 999
49.7%
k 999
49.7%
s 4
 
0.2%
e 2
 
0.1%
P 1
 
< 0.1%
o 1
 
< 0.1%
i 1
 
< 0.1%
b 1
 
< 0.1%
l 1
 
< 0.1%
I 1
 
< 0.1%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2012
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
O 999
49.7%
k 999
49.7%
s 4
 
0.2%
e 2
 
0.1%
P 1
 
< 0.1%
o 1
 
< 0.1%
i 1
 
< 0.1%
b 1
 
< 0.1%
l 1
 
< 0.1%
1
 
< 0.1%
Other values (2) 2
 
0.1%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size57.7 KiB
2023-12-09T20:55:36.663660image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2000
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowOk
2nd rowOk
3rd rowOk
4th rowOk
5th rowOk
ValueCountFrequency (%)
ok 1000
100.0%
2023-12-09T20:55:36.868018image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
O 1000
50.0%
k 1000
50.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1000
50.0%
Lowercase Letter 1000
50.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
O 1000
100.0%
Lowercase Letter
ValueCountFrequency (%)
k 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2000
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 1000
50.0%
k 1000
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
O 1000
50.0%
k 1000
50.0%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size58.6 KiB
2023-12-09T20:55:37.008394image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length33
Median length2
Mean length2.887
Min length2

Characters and Unicode

Total characters2887
Distinct characters23
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowOk
2nd rowPossible Issue
3rd rowOk
4th rowOk
5th rowOk
ValueCountFrequency (%)
ok 934
86.0%
possible 61
 
5.6%
issue 61
 
5.6%
unable 5
 
0.5%
to 5
 
0.5%
check 5
 
0.5%
not 5
 
0.5%
enough 5
 
0.5%
data 5
 
0.5%
2023-12-09T20:55:37.267802image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
k 939
32.5%
O 934
32.4%
s 244
 
8.5%
e 137
 
4.7%
86
 
3.0%
o 76
 
2.6%
l 66
 
2.3%
u 66
 
2.3%
b 66
 
2.3%
i 61
 
2.1%
Other values (13) 212
 
7.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1725
59.8%
Uppercase Letter 1066
36.9%
Space Separator 86
 
3.0%
Open Punctuation 5
 
0.2%
Close Punctuation 5
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
k 939
54.4%
s 244
 
14.1%
e 137
 
7.9%
o 76
 
4.4%
l 66
 
3.8%
u 66
 
3.8%
b 66
 
3.8%
i 61
 
3.5%
n 15
 
0.9%
a 15
 
0.9%
Other values (5) 40
 
2.3%
Uppercase Letter
ValueCountFrequency (%)
O 934
87.6%
I 61
 
5.7%
P 61
 
5.7%
U 5
 
0.5%
C 5
 
0.5%
Space Separator
ValueCountFrequency (%)
86
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2791
96.7%
Common 96
 
3.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
k 939
33.6%
O 934
33.5%
s 244
 
8.7%
e 137
 
4.9%
o 76
 
2.7%
l 66
 
2.4%
u 66
 
2.4%
b 66
 
2.4%
i 61
 
2.2%
I 61
 
2.2%
Other values (10) 141
 
5.1%
Common
ValueCountFrequency (%)
86
89.6%
( 5
 
5.2%
) 5
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2887
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
k 939
32.5%
O 934
32.4%
s 244
 
8.5%
e 137
 
4.7%
86
 
3.0%
o 76
 
2.6%
l 66
 
2.3%
u 66
 
2.3%
b 66
 
2.3%
i 61
 
2.1%
Other values (13) 212
 
7.3%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size57.9 KiB
2023-12-09T20:55:37.410488image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length33
Median length2
Mean length2.179
Min length2

Characters and Unicode

Total characters2179
Distinct characters23
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowOk
2nd rowOk
3rd rowOk
4th rowOk
5th rowOk
ValueCountFrequency (%)
ok 993
96.7%
unable 5
 
0.5%
to 5
 
0.5%
check 5
 
0.5%
not 5
 
0.5%
enough 5
 
0.5%
data 5
 
0.5%
possible 2
 
0.2%
issue 2
 
0.2%
2023-12-09T20:55:37.666586image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
k 998
45.8%
O 993
45.6%
27
 
1.2%
e 19
 
0.9%
o 17
 
0.8%
n 15
 
0.7%
a 15
 
0.7%
t 15
 
0.7%
h 10
 
0.5%
s 8
 
0.4%
Other values (13) 62
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1135
52.1%
Uppercase Letter 1007
46.2%
Space Separator 27
 
1.2%
Close Punctuation 5
 
0.2%
Open Punctuation 5
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
k 998
87.9%
e 19
 
1.7%
o 17
 
1.5%
n 15
 
1.3%
a 15
 
1.3%
t 15
 
1.3%
h 10
 
0.9%
s 8
 
0.7%
b 7
 
0.6%
l 7
 
0.6%
Other values (5) 24
 
2.1%
Uppercase Letter
ValueCountFrequency (%)
O 993
98.6%
C 5
 
0.5%
U 5
 
0.5%
P 2
 
0.2%
I 2
 
0.2%
Space Separator
ValueCountFrequency (%)
27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2142
98.3%
Common 37
 
1.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
k 998
46.6%
O 993
46.4%
e 19
 
0.9%
o 17
 
0.8%
n 15
 
0.7%
a 15
 
0.7%
t 15
 
0.7%
h 10
 
0.5%
s 8
 
0.4%
b 7
 
0.3%
Other values (10) 45
 
2.1%
Common
ValueCountFrequency (%)
27
73.0%
) 5
 
13.5%
( 5
 
13.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2179
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
k 998
45.8%
O 993
45.6%
27
 
1.2%
e 19
 
0.9%
o 17
 
0.8%
n 15
 
0.7%
a 15
 
0.7%
t 15
 
0.7%
h 10
 
0.5%
s 8
 
0.4%
Other values (13) 62
 
2.8%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size57.9 KiB
2023-12-09T20:55:37.807613image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length33
Median length2
Mean length2.167
Min length2

Characters and Unicode

Total characters2167
Distinct characters23
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowOk
2nd rowOk
3rd rowOk
4th rowOk
5th rowOk
ValueCountFrequency (%)
ok 994
96.9%
unable 5
 
0.5%
to 5
 
0.5%
check 5
 
0.5%
not 5
 
0.5%
enough 5
 
0.5%
data 5
 
0.5%
possible 1
 
0.1%
issue 1
 
0.1%
2023-12-09T20:55:38.063864image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
k 999
46.1%
O 994
45.9%
26
 
1.2%
e 17
 
0.8%
o 16
 
0.7%
n 15
 
0.7%
a 15
 
0.7%
t 15
 
0.7%
h 10
 
0.5%
u 6
 
0.3%
Other values (13) 54
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1125
51.9%
Uppercase Letter 1006
46.4%
Space Separator 26
 
1.2%
Close Punctuation 5
 
0.2%
Open Punctuation 5
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
k 999
88.8%
e 17
 
1.5%
o 16
 
1.4%
n 15
 
1.3%
a 15
 
1.3%
t 15
 
1.3%
h 10
 
0.9%
u 6
 
0.5%
b 6
 
0.5%
l 6
 
0.5%
Other values (5) 20
 
1.8%
Uppercase Letter
ValueCountFrequency (%)
O 994
98.8%
C 5
 
0.5%
U 5
 
0.5%
P 1
 
0.1%
I 1
 
0.1%
Space Separator
ValueCountFrequency (%)
26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2131
98.3%
Common 36
 
1.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
k 999
46.9%
O 994
46.6%
e 17
 
0.8%
o 16
 
0.8%
n 15
 
0.7%
a 15
 
0.7%
t 15
 
0.7%
h 10
 
0.5%
u 6
 
0.3%
b 6
 
0.3%
Other values (10) 38
 
1.8%
Common
ValueCountFrequency (%)
26
72.2%
) 5
 
13.9%
( 5
 
13.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2167
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
k 999
46.1%
O 994
45.9%
26
 
1.2%
e 17
 
0.8%
o 16
 
0.7%
n 15
 
0.7%
a 15
 
0.7%
t 15
 
0.7%
h 10
 
0.5%
u 6
 
0.3%
Other values (13) 54
 
2.5%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size59.5 KiB
2023-12-09T20:55:38.213309image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length33
Median length2
Mean length3.775
Min length2

Characters and Unicode

Total characters3775
Distinct characters23
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPossible Issue
2nd rowOk
3rd rowOk
4th rowOk
5th rowOk
ValueCountFrequency (%)
ok 860
74.1%
possible 135
 
11.6%
issue 135
 
11.6%
unable 5
 
0.4%
to 5
 
0.4%
check 5
 
0.4%
not 5
 
0.4%
enough 5
 
0.4%
data 5
 
0.4%
2023-12-09T20:55:38.472513image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
k 865
22.9%
O 860
22.8%
s 540
14.3%
e 285
 
7.5%
160
 
4.2%
o 150
 
4.0%
l 140
 
3.7%
u 140
 
3.7%
b 140
 
3.7%
i 135
 
3.6%
Other values (13) 360
9.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2465
65.3%
Uppercase Letter 1140
30.2%
Space Separator 160
 
4.2%
Open Punctuation 5
 
0.1%
Close Punctuation 5
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
k 865
35.1%
s 540
21.9%
e 285
 
11.6%
o 150
 
6.1%
l 140
 
5.7%
u 140
 
5.7%
b 140
 
5.7%
i 135
 
5.5%
n 15
 
0.6%
a 15
 
0.6%
Other values (5) 40
 
1.6%
Uppercase Letter
ValueCountFrequency (%)
O 860
75.4%
I 135
 
11.8%
P 135
 
11.8%
U 5
 
0.4%
C 5
 
0.4%
Space Separator
ValueCountFrequency (%)
160
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3605
95.5%
Common 170
 
4.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
k 865
24.0%
O 860
23.9%
s 540
15.0%
e 285
 
7.9%
o 150
 
4.2%
l 140
 
3.9%
u 140
 
3.9%
b 140
 
3.9%
i 135
 
3.7%
I 135
 
3.7%
Other values (10) 215
 
6.0%
Common
ValueCountFrequency (%)
160
94.1%
( 5
 
2.9%
) 5
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3775
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
k 865
22.9%
O 860
22.8%
s 540
14.3%
e 285
 
7.5%
160
 
4.2%
o 150
 
4.0%
l 140
 
3.7%
u 140
 
3.7%
b 140
 
3.7%
i 135
 
3.6%
Other values (13) 360
9.5%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size57.9 KiB
2023-12-09T20:55:38.612389image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length33
Median length2
Mean length2.136
Min length2

Characters and Unicode

Total characters2136
Distinct characters23
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowOk
2nd rowOk
3rd rowOk
4th rowOk
5th rowOk
ValueCountFrequency (%)
ok 995
97.5%
unable 4
 
0.4%
to 4
 
0.4%
check 4
 
0.4%
not 4
 
0.4%
enough 4
 
0.4%
data 4
 
0.4%
possible 1
 
0.1%
issue 1
 
0.1%
2023-12-09T20:55:38.867790image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
k 999
46.8%
O 995
46.6%
21
 
1.0%
e 14
 
0.7%
o 13
 
0.6%
n 12
 
0.6%
a 12
 
0.6%
t 12
 
0.6%
h 8
 
0.4%
b 5
 
0.2%
Other values (13) 45
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1102
51.6%
Uppercase Letter 1005
47.1%
Space Separator 21
 
1.0%
Close Punctuation 4
 
0.2%
Open Punctuation 4
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
k 999
90.7%
e 14
 
1.3%
o 13
 
1.2%
n 12
 
1.1%
a 12
 
1.1%
t 12
 
1.1%
h 8
 
0.7%
b 5
 
0.5%
l 5
 
0.5%
u 5
 
0.5%
Other values (5) 17
 
1.5%
Uppercase Letter
ValueCountFrequency (%)
O 995
99.0%
C 4
 
0.4%
U 4
 
0.4%
P 1
 
0.1%
I 1
 
0.1%
Space Separator
ValueCountFrequency (%)
21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2107
98.6%
Common 29
 
1.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
k 999
47.4%
O 995
47.2%
e 14
 
0.7%
o 13
 
0.6%
n 12
 
0.6%
a 12
 
0.6%
t 12
 
0.6%
h 8
 
0.4%
b 5
 
0.2%
l 5
 
0.2%
Other values (10) 32
 
1.5%
Common
ValueCountFrequency (%)
21
72.4%
) 4
 
13.8%
( 4
 
13.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2136
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
k 999
46.8%
O 995
46.6%
21
 
1.0%
e 14
 
0.7%
o 13
 
0.6%
n 12
 
0.6%
a 12
 
0.6%
t 12
 
0.6%
h 8
 
0.4%
b 5
 
0.2%
Other values (13) 45
 
2.1%
Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size57.7 KiB
2023-12-09T20:55:38.972507image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2000
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowOk
2nd rowOk
3rd rowOk
4th rowOk
5th rowOk
ValueCountFrequency (%)
ok 1000
100.0%
2023-12-09T20:55:39.181832image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
O 1000
50.0%
k 1000
50.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1000
50.0%
Lowercase Letter 1000
50.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
O 1000
100.0%
Lowercase Letter
ValueCountFrequency (%)
k 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2000
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
O 1000
50.0%
k 1000
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
O 1000
50.0%
k 1000
50.0%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size60.2 KiB
2023-12-09T20:55:39.326760image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length5
Median length4
Mean length4.499
Min length4

Characters and Unicode

Total characters4499
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowfalse
2nd rowfalse
3rd rowtrue
4th rowfalse
5th rowfalse
ValueCountFrequency (%)
true 501
50.1%
false 499
49.9%
2023-12-09T20:55:39.587430image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1000
22.2%
t 501
11.1%
r 501
11.1%
u 501
11.1%
f 499
11.1%
a 499
11.1%
l 499
11.1%
s 499
11.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4499
100.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1000
22.2%
t 501
11.1%
r 501
11.1%
u 501
11.1%
f 499
11.1%
a 499
11.1%
l 499
11.1%
s 499
11.1%

Most occurring scripts

ValueCountFrequency (%)
Latin 4499
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1000
22.2%
t 501
11.1%
r 501
11.1%
u 501
11.1%
f 499
11.1%
a 499
11.1%
l 499
11.1%
s 499
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4499
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1000
22.2%
t 501
11.1%
r 501
11.1%
u 501
11.1%
f 499
11.1%
a 499
11.1%
l 499
11.1%
s 499
11.1%
Distinct41
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size67.0 KiB
2023-12-09T20:55:39.810881image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length10
Mean length11.497
Min length10

Characters and Unicode

Total characters11497
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)1.3%

Sample

1st rowNot Available
2nd rowNot Available
3rd row2016-02-19
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 499
33.3%
available 499
33.3%
2016-03-27 59
 
3.9%
2016-03-23 52
 
3.5%
2016-03-22 51
 
3.4%
2016-03-24 33
 
2.2%
2016-03-28 32
 
2.1%
2016-03-30 31
 
2.1%
2016-03-29 28
 
1.9%
2016-03-14 28
 
1.9%
Other values (32) 187
 
12.5%
2023-12-09T20:55:40.162217image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1108
 
9.6%
- 1002
 
8.7%
a 998
 
8.7%
l 998
 
8.7%
2 887
 
7.7%
1 629
 
5.5%
3 571
 
5.0%
6 517
 
4.5%
e 499
 
4.3%
o 499
 
4.3%
Other values (12) 3789
33.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4990
43.4%
Decimal Number 4008
34.9%
Dash Punctuation 1002
 
8.7%
Uppercase Letter 998
 
8.7%
Space Separator 499
 
4.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1108
27.6%
2 887
22.1%
1 629
15.7%
3 571
14.2%
6 517
12.9%
4 87
 
2.2%
7 80
 
2.0%
9 47
 
1.2%
8 46
 
1.1%
5 36
 
0.9%
Lowercase Letter
ValueCountFrequency (%)
a 998
20.0%
l 998
20.0%
e 499
10.0%
o 499
10.0%
b 499
10.0%
i 499
10.0%
v 499
10.0%
t 499
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 499
50.0%
A 499
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 1002
100.0%
Space Separator
ValueCountFrequency (%)
499
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5988
52.1%
Common 5509
47.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1108
20.1%
- 1002
18.2%
2 887
16.1%
1 629
11.4%
3 571
10.4%
6 517
9.4%
499
9.1%
4 87
 
1.6%
7 80
 
1.5%
9 47
 
0.9%
Other values (2) 82
 
1.5%
Latin
ValueCountFrequency (%)
a 998
16.7%
l 998
16.7%
e 499
8.3%
o 499
8.3%
N 499
8.3%
b 499
8.3%
i 499
8.3%
v 499
8.3%
A 499
8.3%
t 499
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11497
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1108
 
9.6%
- 1002
 
8.7%
a 998
 
8.7%
l 998
 
8.7%
2 887
 
7.7%
1 629
 
5.5%
3 571
 
5.0%
6 517
 
4.5%
e 499
 
4.3%
o 499
 
4.3%
Other values (12) 3789
33.0%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size58.0 KiB
2023-12-09T20:55:40.294502image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length2
Mean length2.271
Min length2

Characters and Unicode

Total characters2271
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowYes
5th rowYes
ValueCountFrequency (%)
no 729
72.9%
yes 271
 
27.1%
2023-12-09T20:55:40.534160image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 729
32.1%
o 729
32.1%
Y 271
 
11.9%
e 271
 
11.9%
s 271
 
11.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1271
56.0%
Uppercase Letter 1000
44.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 729
57.4%
e 271
 
21.3%
s 271
 
21.3%
Uppercase Letter
ValueCountFrequency (%)
N 729
72.9%
Y 271
 
27.1%

Most occurring scripts

ValueCountFrequency (%)
Latin 2271
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 729
32.1%
o 729
32.1%
Y 271
 
11.9%
e 271
 
11.9%
s 271
 
11.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2271
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 729
32.1%
o 729
32.1%
Y 271
 
11.9%
e 271
 
11.9%
s 271
 
11.9%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size57.9 KiB
2023-12-09T20:55:40.654365image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length33
Median length2
Mean length2.19
Min length2

Characters and Unicode

Total characters2190
Distinct characters21
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo
ValueCountFrequency (%)
no 960
93.7%
yes 35
 
3.4%
unable 5
 
0.5%
to 5
 
0.5%
check 5
 
0.5%
not 5
 
0.5%
enough 5
 
0.5%
data 5
 
0.5%
2023-12-09T20:55:40.891886image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 975
44.5%
N 960
43.8%
e 50
 
2.3%
Y 35
 
1.6%
s 35
 
1.6%
25
 
1.1%
n 15
 
0.7%
a 15
 
0.7%
t 15
 
0.7%
h 10
 
0.5%
Other values (11) 55
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1150
52.5%
Uppercase Letter 1005
45.9%
Space Separator 25
 
1.1%
Open Punctuation 5
 
0.2%
Close Punctuation 5
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 975
84.8%
e 50
 
4.3%
s 35
 
3.0%
n 15
 
1.3%
a 15
 
1.3%
t 15
 
1.3%
h 10
 
0.9%
b 5
 
0.4%
l 5
 
0.4%
c 5
 
0.4%
Other values (4) 20
 
1.7%
Uppercase Letter
ValueCountFrequency (%)
N 960
95.5%
Y 35
 
3.5%
U 5
 
0.5%
C 5
 
0.5%
Space Separator
ValueCountFrequency (%)
25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2155
98.4%
Common 35
 
1.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 975
45.2%
N 960
44.5%
e 50
 
2.3%
Y 35
 
1.6%
s 35
 
1.6%
n 15
 
0.7%
a 15
 
0.7%
t 15
 
0.7%
h 10
 
0.5%
b 5
 
0.2%
Other values (8) 40
 
1.9%
Common
ValueCountFrequency (%)
25
71.4%
( 5
 
14.3%
) 5
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2190
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 975
44.5%
N 960
43.8%
e 50
 
2.3%
Y 35
 
1.6%
s 35
 
1.6%
25
 
1.1%
n 15
 
0.7%
a 15
 
0.7%
t 15
 
0.7%
h 10
 
0.5%
Other values (11) 55
 
2.5%
Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size57.8 KiB
2023-12-09T20:55:41.002639image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length2
Mean length2.02
Min length2

Characters and Unicode

Total characters2020
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo
ValueCountFrequency (%)
no 980
98.0%
yes 20
 
2.0%
2023-12-09T20:55:41.223157image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 980
48.5%
o 980
48.5%
Y 20
 
1.0%
e 20
 
1.0%
s 20
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1020
50.5%
Uppercase Letter 1000
49.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 980
96.1%
e 20
 
2.0%
s 20
 
2.0%
Uppercase Letter
ValueCountFrequency (%)
N 980
98.0%
Y 20
 
2.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2020
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 980
48.5%
o 980
48.5%
Y 20
 
1.0%
e 20
 
1.0%
s 20
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2020
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 980
48.5%
o 980
48.5%
Y 20
 
1.0%
e 20
 
1.0%
s 20
 
1.0%
Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size65.5 KiB
2023-12-09T20:55:41.381370image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length33
Median length2
Mean length9.952
Min length2

Characters and Unicode

Total characters9952
Distinct characters21
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowUnable to Check (not enough data)
2nd rowNo
3rd rowNo
4th rowNo
5th rowUnable to Check (not enough data)
ValueCountFrequency (%)
no 728
31.9%
unable 256
 
11.2%
to 256
 
11.2%
check 256
 
11.2%
not 256
 
11.2%
enough 256
 
11.2%
data 256
 
11.2%
yes 16
 
0.7%
2023-12-09T20:55:41.665481image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 1496
15.0%
1280
12.9%
e 784
 
7.9%
n 768
 
7.7%
a 768
 
7.7%
t 768
 
7.7%
N 728
 
7.3%
h 512
 
5.1%
( 256
 
2.6%
) 256
 
2.6%
Other values (11) 2336
23.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6904
69.4%
Space Separator 1280
 
12.9%
Uppercase Letter 1256
 
12.6%
Open Punctuation 256
 
2.6%
Close Punctuation 256
 
2.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 1496
21.7%
e 784
11.4%
n 768
11.1%
a 768
11.1%
t 768
11.1%
h 512
 
7.4%
d 256
 
3.7%
g 256
 
3.7%
u 256
 
3.7%
k 256
 
3.7%
Other values (4) 784
11.4%
Uppercase Letter
ValueCountFrequency (%)
N 728
58.0%
C 256
 
20.4%
U 256
 
20.4%
Y 16
 
1.3%
Space Separator
ValueCountFrequency (%)
1280
100.0%
Open Punctuation
ValueCountFrequency (%)
( 256
100.0%
Close Punctuation
ValueCountFrequency (%)
) 256
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8160
82.0%
Common 1792
 
18.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 1496
18.3%
e 784
9.6%
n 768
9.4%
a 768
9.4%
t 768
9.4%
N 728
8.9%
h 512
 
6.3%
d 256
 
3.1%
g 256
 
3.1%
u 256
 
3.1%
Other values (8) 1568
19.2%
Common
ValueCountFrequency (%)
1280
71.4%
( 256
 
14.3%
) 256
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9952
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 1496
15.0%
1280
12.9%
e 784
 
7.9%
n 768
 
7.7%
a 768
 
7.7%
t 768
 
7.7%
N 728
 
7.3%
h 512
 
5.1%
( 256
 
2.6%
) 256
 
2.6%
Other values (11) 2336
23.5%
Distinct863
Distinct (%)86.3%
Missing0
Missing (%)0.0%
Memory size61.0 KiB
2023-12-09T20:55:42.068843image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.377
Min length1

Characters and Unicode

Total characters5377
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique809 ?
Unique (%)80.9%

Sample

1st row153816
2nd row63000
3rd row246000
4th row965000
5th row424278
ValueCountFrequency (%)
70000 34
 
3.4%
387600 7
 
0.7%
50000 6
 
0.6%
35000 6
 
0.6%
84000 5
 
0.5%
60000 5
 
0.5%
66000 5
 
0.5%
80000 5
 
0.5%
100000 5
 
0.5%
55000 4
 
0.4%
Other values (853) 918
91.8%
2023-12-09T20:55:42.618959image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1362
25.3%
5 559
10.4%
1 557
10.4%
6 505
 
9.4%
2 461
 
8.6%
7 436
 
8.1%
8 428
 
8.0%
4 381
 
7.1%
3 366
 
6.8%
9 322
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5377
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1362
25.3%
5 559
10.4%
1 557
10.4%
6 505
 
9.4%
2 461
 
8.6%
7 436
 
8.1%
8 428
 
8.0%
4 381
 
7.1%
3 366
 
6.8%
9 322
 
6.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5377
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1362
25.3%
5 559
10.4%
1 557
10.4%
6 505
 
9.4%
2 461
 
8.6%
7 436
 
8.1%
8 428
 
8.0%
4 381
 
7.1%
3 366
 
6.8%
9 322
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5377
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1362
25.3%
5 559
10.4%
1 557
10.4%
6 505
 
9.4%
2 461
 
8.6%
7 436
 
8.1%
8 428
 
8.0%
4 381
 
7.1%
3 366
 
6.8%
9 322
 
6.0%
Distinct860
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Memory size61.1 KiB
2023-12-09T20:55:43.061430image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length8
Median length5
Mean length5.389
Min length1

Characters and Unicode

Total characters5389
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique805 ?
Unique (%)80.5%

Sample

1st row153816
2nd row63000
3rd row251770
4th row1000000
5th row474003
ValueCountFrequency (%)
70000 34
 
3.4%
407600 7
 
0.7%
50000 7
 
0.7%
35000 6
 
0.6%
60000 5
 
0.5%
80000 5
 
0.5%
66000 5
 
0.5%
100000 5
 
0.5%
59000 4
 
0.4%
55000 4
 
0.4%
Other values (850) 918
91.8%
2023-12-09T20:55:43.642143image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1347
25.0%
1 579
10.7%
5 543
10.1%
6 524
 
9.7%
7 460
 
8.5%
2 459
 
8.5%
8 419
 
7.8%
4 385
 
7.1%
3 350
 
6.5%
9 322
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5388
> 99.9%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1347
25.0%
1 579
10.7%
5 543
10.1%
6 524
 
9.7%
7 460
 
8.5%
2 459
 
8.5%
8 419
 
7.8%
4 385
 
7.1%
3 350
 
6.5%
9 322
 
6.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5389
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1347
25.0%
1 579
10.7%
5 543
10.1%
6 524
 
9.7%
7 460
 
8.5%
2 459
 
8.5%
8 419
 
7.8%
4 385
 
7.1%
3 350
 
6.5%
9 322
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5389
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1347
25.0%
1 579
10.7%
5 543
10.1%
6 524
 
9.7%
7 460
 
8.5%
2 459
 
8.5%
8 419
 
7.8%
4 385
 
7.1%
3 350
 
6.5%
9 322
 
6.0%
Distinct863
Distinct (%)86.3%
Missing0
Missing (%)0.0%
Memory size61.0 KiB
2023-12-09T20:55:44.025232image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length8
Median length5
Mean length5.382
Min length1

Characters and Unicode

Total characters5382
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique810 ?
Unique (%)81.0%

Sample

1st row153816
2nd row63000
3rd row251770
4th row965000
5th row424278
ValueCountFrequency (%)
70000 34
 
3.4%
50000 7
 
0.7%
387600 7
 
0.7%
35000 6
 
0.6%
100000 5
 
0.5%
60000 5
 
0.5%
66000 5
 
0.5%
80000 5
 
0.5%
52000 4
 
0.4%
17500 4
 
0.4%
Other values (853) 918
91.8%
2023-12-09T20:55:44.538044image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1360
25.3%
1 558
10.4%
5 557
10.3%
6 506
 
9.4%
2 459
 
8.5%
7 443
 
8.2%
8 426
 
7.9%
4 380
 
7.1%
3 369
 
6.9%
9 323
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5381
> 99.9%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1360
25.3%
1 558
10.4%
5 557
10.4%
6 506
 
9.4%
2 459
 
8.5%
7 443
 
8.2%
8 426
 
7.9%
4 380
 
7.1%
3 369
 
6.9%
9 323
 
6.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5382
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1360
25.3%
1 558
10.4%
5 557
10.3%
6 506
 
9.4%
2 459
 
8.5%
7 443
 
8.2%
8 426
 
7.9%
4 380
 
7.1%
3 369
 
6.9%
9 323
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5382
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1360
25.3%
1 558
10.4%
5 557
10.3%
6 506
 
9.4%
2 459
 
8.5%
7 443
 
8.2%
8 426
 
7.9%
4 380
 
7.1%
3 369
 
6.9%
9 323
 
6.0%
Distinct106
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Memory size67.4 KiB
2023-12-09T20:55:44.903241image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.924
Min length3

Characters and Unicode

Total characters11924
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique95 ?
Unique (%)9.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th row35000
5th row49725
ValueCountFrequency (%)
not 871
46.6%
available 871
46.6%
20000 12
 
0.6%
10000 4
 
0.2%
268200 3
 
0.2%
4768 3
 
0.2%
25000 2
 
0.1%
1520 2
 
0.1%
41000 2
 
0.1%
14000 2
 
0.1%
Other values (97) 99
 
5.3%
2023-12-09T20:55:45.374938image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1742
14.6%
l 1742
14.6%
N 871
7.3%
o 871
7.3%
b 871
7.3%
i 871
7.3%
e 871
7.3%
v 871
7.3%
A 871
7.3%
871
7.3%
Other values (11) 1472
12.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8710
73.0%
Uppercase Letter 1742
 
14.6%
Space Separator 871
 
7.3%
Decimal Number 601
 
5.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 185
30.8%
2 67
 
11.1%
1 60
 
10.0%
4 56
 
9.3%
6 52
 
8.7%
7 41
 
6.8%
5 41
 
6.8%
8 39
 
6.5%
3 37
 
6.2%
9 23
 
3.8%
Lowercase Letter
ValueCountFrequency (%)
a 1742
20.0%
l 1742
20.0%
o 871
10.0%
b 871
10.0%
i 871
10.0%
e 871
10.0%
v 871
10.0%
t 871
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 871
50.0%
A 871
50.0%
Space Separator
ValueCountFrequency (%)
871
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10452
87.7%
Common 1472
 
12.3%

Most frequent character per script

Common
ValueCountFrequency (%)
871
59.2%
0 185
 
12.6%
2 67
 
4.6%
1 60
 
4.1%
4 56
 
3.8%
6 52
 
3.5%
7 41
 
2.8%
5 41
 
2.8%
8 39
 
2.6%
3 37
 
2.5%
Latin
ValueCountFrequency (%)
a 1742
16.7%
l 1742
16.7%
N 871
8.3%
o 871
8.3%
b 871
8.3%
i 871
8.3%
e 871
8.3%
v 871
8.3%
A 871
8.3%
t 871
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11924
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1742
14.6%
l 1742
14.6%
N 871
7.3%
o 871
7.3%
b 871
7.3%
i 871
7.3%
e 871
7.3%
v 871
7.3%
A 871
7.3%
871
7.3%
Other values (11) 1472
12.3%

water_current_date
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1000
Missing (%)100.0%
Memory size7.9 KiB
Distinct587
Distinct (%)58.7%
Missing0
Missing (%)0.0%
Memory size64.0 KiB
2023-12-09T20:55:45.849942image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length9
Mean length8.409
Min length1

Characters and Unicode

Total characters8409
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique579 ?
Unique (%)57.9%

Sample

1st row1632.2
2nd row76.1
3rd row19383.4
4th row43470.8
5th rowNot Available
ValueCountFrequency (%)
not 379
27.5%
available 379
27.5%
0 30
 
2.2%
2943.6 2
 
0.1%
0.7 2
 
0.1%
9301.6 2
 
0.1%
939.6 2
 
0.1%
6047.1 2
 
0.1%
2529.2 2
 
0.1%
1632.2 1
 
0.1%
Other values (578) 578
41.9%
2023-12-09T20:55:46.453752image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 758
 
9.0%
a 758
 
9.0%
. 509
 
6.1%
N 379
 
4.5%
i 379
 
4.5%
o 379
 
4.5%
b 379
 
4.5%
e 379
 
4.5%
v 379
 
4.5%
A 379
 
4.5%
Other values (12) 3731
44.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3790
45.1%
Decimal Number 2973
35.4%
Uppercase Letter 758
 
9.0%
Other Punctuation 509
 
6.1%
Space Separator 379
 
4.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 369
12.4%
1 363
12.2%
3 335
11.3%
6 299
10.1%
4 296
10.0%
5 284
9.6%
7 282
9.5%
9 258
8.7%
8 255
8.6%
0 232
7.8%
Lowercase Letter
ValueCountFrequency (%)
l 758
20.0%
a 758
20.0%
i 379
10.0%
o 379
10.0%
b 379
10.0%
e 379
10.0%
v 379
10.0%
t 379
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 379
50.0%
A 379
50.0%
Other Punctuation
ValueCountFrequency (%)
. 509
100.0%
Space Separator
ValueCountFrequency (%)
379
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4548
54.1%
Common 3861
45.9%

Most frequent character per script

Common
ValueCountFrequency (%)
. 509
13.2%
379
9.8%
2 369
9.6%
1 363
9.4%
3 335
8.7%
6 299
7.7%
4 296
7.7%
5 284
7.4%
7 282
7.3%
9 258
6.7%
Other values (2) 487
12.6%
Latin
ValueCountFrequency (%)
l 758
16.7%
a 758
16.7%
N 379
8.3%
i 379
8.3%
o 379
8.3%
b 379
8.3%
e 379
8.3%
v 379
8.3%
A 379
8.3%
t 379
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8409
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 758
 
9.0%
a 758
 
9.0%
. 509
 
6.1%
N 379
 
4.5%
i 379
 
4.5%
o 379
 
4.5%
b 379
 
4.5%
e 379
 
4.5%
v 379
 
4.5%
A 379
 
4.5%
Other values (12) 3731
44.4%
Distinct473
Distinct (%)47.3%
Missing0
Missing (%)0.0%
Memory size64.8 KiB
2023-12-09T20:55:46.944075image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length9
Mean length9.256
Min length1

Characters and Unicode

Total characters9256
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique467 ?
Unique (%)46.7%

Sample

1st rowNot Available
2nd row76.1
3rd row19383.4
4th row43470.8
5th rowNot Available
ValueCountFrequency (%)
not 496
33.2%
available 496
33.2%
0 29
 
1.9%
939.6 2
 
0.1%
283727 2
 
0.1%
6047.1 2
 
0.1%
9301.6 2
 
0.1%
92.3 1
 
0.1%
3763 1
 
0.1%
8274.4 1
 
0.1%
Other values (464) 464
31.0%
2023-12-09T20:55:47.556780image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 992
 
10.7%
a 992
 
10.7%
o 496
 
5.4%
e 496
 
5.4%
b 496
 
5.4%
i 496
 
5.4%
N 496
 
5.4%
v 496
 
5.4%
A 496
 
5.4%
496
 
5.4%
Other values (12) 3304
35.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4960
53.6%
Decimal Number 2399
25.9%
Uppercase Letter 992
 
10.7%
Space Separator 496
 
5.4%
Other Punctuation 409
 
4.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 313
13.0%
1 292
12.2%
3 275
11.5%
7 240
10.0%
4 234
9.8%
5 227
9.5%
6 227
9.5%
9 202
8.4%
8 198
8.3%
0 191
8.0%
Lowercase Letter
ValueCountFrequency (%)
l 992
20.0%
a 992
20.0%
o 496
10.0%
e 496
10.0%
b 496
10.0%
i 496
10.0%
v 496
10.0%
t 496
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 496
50.0%
A 496
50.0%
Space Separator
ValueCountFrequency (%)
496
100.0%
Other Punctuation
ValueCountFrequency (%)
. 409
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5952
64.3%
Common 3304
35.7%

Most frequent character per script

Common
ValueCountFrequency (%)
496
15.0%
. 409
12.4%
2 313
9.5%
1 292
8.8%
3 275
8.3%
7 240
7.3%
4 234
7.1%
5 227
6.9%
6 227
6.9%
9 202
6.1%
Other values (2) 389
11.8%
Latin
ValueCountFrequency (%)
l 992
16.7%
a 992
16.7%
o 496
8.3%
e 496
8.3%
b 496
8.3%
i 496
8.3%
N 496
8.3%
v 496
8.3%
A 496
8.3%
t 496
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9256
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 992
 
10.7%
a 992
 
10.7%
o 496
 
5.4%
e 496
 
5.4%
b 496
 
5.4%
i 496
 
5.4%
N 496
 
5.4%
v 496
 
5.4%
A 496
 
5.4%
496
 
5.4%
Other values (12) 3304
35.7%
Distinct491
Distinct (%)49.1%
Missing0
Missing (%)0.0%
Memory size64.2 KiB
2023-12-09T20:55:48.073215image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length8
Mean length8.607
Min length1

Characters and Unicode

Total characters8607
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique476 ?
Unique (%)47.6%

Sample

1st row10.61
2nd row1.21
3rd row76.99
4th row45.05
5th rowNot Available
ValueCountFrequency (%)
not 468
31.9%
available 468
31.9%
0 29
 
2.0%
0.01 3
 
0.2%
34.22 2
 
0.1%
50.09 2
 
0.1%
32.27 2
 
0.1%
22.4 2
 
0.1%
49.68 2
 
0.1%
35.72 2
 
0.1%
Other values (482) 488
33.2%
2023-12-09T20:55:48.713757image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 936
 
10.9%
a 936
 
10.9%
. 495
 
5.8%
N 468
 
5.4%
i 468
 
5.4%
o 468
 
5.4%
b 468
 
5.4%
e 468
 
5.4%
v 468
 
5.4%
A 468
 
5.4%
Other values (12) 2964
34.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4680
54.4%
Decimal Number 2028
23.6%
Uppercase Letter 936
 
10.9%
Other Punctuation 495
 
5.8%
Space Separator 468
 
5.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 241
11.9%
1 240
11.8%
2 237
11.7%
4 232
11.4%
6 214
10.6%
5 195
9.6%
7 194
9.6%
8 171
8.4%
0 168
8.3%
9 136
6.7%
Lowercase Letter
ValueCountFrequency (%)
l 936
20.0%
a 936
20.0%
i 468
10.0%
o 468
10.0%
b 468
10.0%
e 468
10.0%
v 468
10.0%
t 468
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 468
50.0%
A 468
50.0%
Other Punctuation
ValueCountFrequency (%)
. 495
100.0%
Space Separator
ValueCountFrequency (%)
468
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5616
65.2%
Common 2991
34.8%

Most frequent character per script

Common
ValueCountFrequency (%)
. 495
16.5%
468
15.6%
3 241
8.1%
1 240
8.0%
2 237
7.9%
4 232
7.8%
6 214
7.2%
5 195
 
6.5%
7 194
 
6.5%
8 171
 
5.7%
Other values (2) 304
10.2%
Latin
ValueCountFrequency (%)
l 936
16.7%
a 936
16.7%
N 468
8.3%
i 468
8.3%
o 468
8.3%
b 468
8.3%
e 468
8.3%
v 468
8.3%
A 468
8.3%
t 468
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8607
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 936
 
10.9%
a 936
 
10.9%
. 495
 
5.8%
N 468
 
5.4%
i 468
 
5.4%
o 468
 
5.4%
b 468
 
5.4%
e 468
 
5.4%
v 468
 
5.4%
A 468
 
5.4%
Other values (12) 2964
34.4%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:55:48.905056image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.966
Min length6

Characters and Unicode

Total characters12966
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 995
49.9%
available 995
49.9%
2028.5 1
 
0.1%
10167.1 1
 
0.1%
8189.9 1
 
0.1%
6768.8 1
 
0.1%
3762.4 1
 
0.1%
2023-12-09T20:55:49.207752image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1990
15.3%
l 1990
15.3%
N 995
7.7%
t 995
7.7%
995
7.7%
A 995
7.7%
v 995
7.7%
i 995
7.7%
b 995
7.7%
e 995
7.7%
Other values (12) 1026
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9950
76.7%
Uppercase Letter 1990
 
15.3%
Space Separator 995
 
7.7%
Decimal Number 26
 
0.2%
Other Punctuation 5
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 5
19.2%
1 4
15.4%
6 4
15.4%
7 3
11.5%
2 3
11.5%
0 2
 
7.7%
9 2
 
7.7%
5 1
 
3.8%
3 1
 
3.8%
4 1
 
3.8%
Lowercase Letter
ValueCountFrequency (%)
a 1990
20.0%
l 1990
20.0%
t 995
10.0%
v 995
10.0%
i 995
10.0%
b 995
10.0%
e 995
10.0%
o 995
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 995
50.0%
A 995
50.0%
Space Separator
ValueCountFrequency (%)
995
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11940
92.1%
Common 1026
 
7.9%

Most frequent character per script

Common
ValueCountFrequency (%)
995
97.0%
8 5
 
0.5%
. 5
 
0.5%
1 4
 
0.4%
6 4
 
0.4%
7 3
 
0.3%
2 3
 
0.3%
0 2
 
0.2%
9 2
 
0.2%
5 1
 
0.1%
Other values (2) 2
 
0.2%
Latin
ValueCountFrequency (%)
a 1990
16.7%
l 1990
16.7%
N 995
8.3%
t 995
8.3%
A 995
8.3%
v 995
8.3%
i 995
8.3%
b 995
8.3%
e 995
8.3%
o 995
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12966
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1990
15.3%
l 1990
15.3%
N 995
7.7%
t 995
7.7%
995
7.7%
A 995
7.7%
v 995
7.7%
i 995
7.7%
b 995
7.7%
e 995
7.7%
Other values (12) 1026
7.9%
Distinct85
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Memory size67.9 KiB
2023-12-09T20:55:49.541894image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.405
Min length1

Characters and Unicode

Total characters12405
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique84 ?
Unique (%)8.4%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 916
47.8%
available 916
47.8%
6083.9 1
 
0.1%
1369787.8 1
 
0.1%
2829.8 1
 
0.1%
4903.5 1
 
0.1%
18525.5 1
 
0.1%
6341.2 1
 
0.1%
1474 1
 
0.1%
8464 1
 
0.1%
Other values (76) 76
 
4.0%
2023-12-09T20:55:50.003989image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1832
14.8%
l 1832
14.8%
N 916
7.4%
t 916
7.4%
916
7.4%
A 916
7.4%
v 916
7.4%
i 916
7.4%
b 916
7.4%
e 916
7.4%
Other values (12) 1413
11.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9160
73.8%
Uppercase Letter 1832
 
14.8%
Space Separator 916
 
7.4%
Decimal Number 421
 
3.4%
Other Punctuation 76
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 50
11.9%
3 48
11.4%
1 48
11.4%
4 45
10.7%
8 45
10.7%
2 44
10.5%
5 44
10.5%
9 38
9.0%
7 34
8.1%
0 25
5.9%
Lowercase Letter
ValueCountFrequency (%)
a 1832
20.0%
l 1832
20.0%
t 916
10.0%
v 916
10.0%
i 916
10.0%
b 916
10.0%
e 916
10.0%
o 916
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 916
50.0%
A 916
50.0%
Space Separator
ValueCountFrequency (%)
916
100.0%
Other Punctuation
ValueCountFrequency (%)
. 76
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10992
88.6%
Common 1413
 
11.4%

Most frequent character per script

Common
ValueCountFrequency (%)
916
64.8%
. 76
 
5.4%
6 50
 
3.5%
3 48
 
3.4%
1 48
 
3.4%
4 45
 
3.2%
8 45
 
3.2%
2 44
 
3.1%
5 44
 
3.1%
9 38
 
2.7%
Other values (2) 59
 
4.2%
Latin
ValueCountFrequency (%)
a 1832
16.7%
l 1832
16.7%
N 916
8.3%
t 916
8.3%
A 916
8.3%
v 916
8.3%
i 916
8.3%
b 916
8.3%
e 916
8.3%
o 916
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12405
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1832
14.8%
l 1832
14.8%
N 916
7.4%
t 916
7.4%
916
7.4%
A 916
7.4%
v 916
7.4%
i 916
7.4%
b 916
7.4%
e 916
7.4%
Other values (12) 1413
11.4%
Distinct472
Distinct (%)47.2%
Missing0
Missing (%)0.0%
Memory size64.8 KiB
2023-12-09T20:55:50.516909image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length9
Mean length9.264
Min length1

Characters and Unicode

Total characters9264
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique466 ?
Unique (%)46.6%

Sample

1st rowNot Available
2nd row76.1
3rd row19383.4
4th row43470.8
5th rowNot Available
ValueCountFrequency (%)
not 497
33.2%
available 497
33.2%
0 29
 
1.9%
939.6 2
 
0.1%
283727 2
 
0.1%
6047.1 2
 
0.1%
9301.6 2
 
0.1%
685.2 1
 
0.1%
8274.4 1
 
0.1%
3486.1 1
 
0.1%
Other values (463) 463
30.9%
2023-12-09T20:55:51.153055image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 994
 
10.7%
a 994
 
10.7%
o 497
 
5.4%
e 497
 
5.4%
b 497
 
5.4%
i 497
 
5.4%
N 497
 
5.4%
v 497
 
5.4%
A 497
 
5.4%
497
 
5.4%
Other values (12) 3300
35.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4970
53.6%
Decimal Number 2395
25.9%
Uppercase Letter 994
 
10.7%
Space Separator 497
 
5.4%
Other Punctuation 408
 
4.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 313
13.1%
1 291
12.2%
3 274
11.4%
7 238
9.9%
4 234
9.8%
5 227
9.5%
6 227
9.5%
9 202
8.4%
8 198
8.3%
0 191
8.0%
Lowercase Letter
ValueCountFrequency (%)
l 994
20.0%
a 994
20.0%
o 497
10.0%
e 497
10.0%
b 497
10.0%
i 497
10.0%
v 497
10.0%
t 497
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 497
50.0%
A 497
50.0%
Space Separator
ValueCountFrequency (%)
497
100.0%
Other Punctuation
ValueCountFrequency (%)
. 408
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5964
64.4%
Common 3300
35.6%

Most frequent character per script

Common
ValueCountFrequency (%)
497
15.1%
. 408
12.4%
2 313
9.5%
1 291
8.8%
3 274
8.3%
7 238
7.2%
4 234
7.1%
5 227
6.9%
6 227
6.9%
9 202
6.1%
Other values (2) 389
11.8%
Latin
ValueCountFrequency (%)
l 994
16.7%
a 994
16.7%
o 497
8.3%
e 497
8.3%
b 497
8.3%
i 497
8.3%
N 497
8.3%
v 497
8.3%
A 497
8.3%
t 497
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9264
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 994
 
10.7%
a 994
 
10.7%
o 497
 
5.4%
e 497
 
5.4%
b 497
 
5.4%
i 497
 
5.4%
N 497
 
5.4%
v 497
 
5.4%
A 497
 
5.4%
497
 
5.4%
Other values (12) 3300
35.6%
Distinct467
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Memory size64.4 KiB
2023-12-09T20:55:51.675750image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length8
Mean length8.857
Min length1

Characters and Unicode

Total characters8857
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique456 ?
Unique (%)45.6%

Sample

1st rowNot Available
2nd row1.21
3rd row76.99
4th row45.05
5th rowNot Available
ValueCountFrequency (%)
not 497
33.2%
available 497
33.2%
0 29
 
1.9%
64.32 2
 
0.1%
70.57 2
 
0.1%
22.4 2
 
0.1%
32.27 2
 
0.1%
0.01 2
 
0.1%
49.68 2
 
0.1%
35.72 2
 
0.1%
Other values (458) 460
30.7%
2023-12-09T20:55:52.320823image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 994
 
11.2%
l 994
 
11.2%
N 497
 
5.6%
t 497
 
5.6%
497
 
5.6%
A 497
 
5.6%
v 497
 
5.6%
i 497
 
5.6%
b 497
 
5.6%
e 497
 
5.6%
Other values (12) 2893
32.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4970
56.1%
Decimal Number 1930
 
21.8%
Uppercase Letter 994
 
11.2%
Space Separator 497
 
5.6%
Other Punctuation 466
 
5.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 239
12.4%
1 229
11.9%
3 222
11.5%
4 213
11.0%
6 200
10.4%
7 192
9.9%
5 185
9.6%
8 170
8.8%
0 155
8.0%
9 125
6.5%
Lowercase Letter
ValueCountFrequency (%)
a 994
20.0%
l 994
20.0%
t 497
10.0%
v 497
10.0%
i 497
10.0%
b 497
10.0%
e 497
10.0%
o 497
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 497
50.0%
A 497
50.0%
Space Separator
ValueCountFrequency (%)
497
100.0%
Other Punctuation
ValueCountFrequency (%)
. 466
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5964
67.3%
Common 2893
32.7%

Most frequent character per script

Common
ValueCountFrequency (%)
497
17.2%
. 466
16.1%
2 239
8.3%
1 229
7.9%
3 222
7.7%
4 213
7.4%
6 200
6.9%
7 192
 
6.6%
5 185
 
6.4%
8 170
 
5.9%
Other values (2) 280
9.7%
Latin
ValueCountFrequency (%)
a 994
16.7%
l 994
16.7%
N 497
8.3%
t 497
8.3%
A 497
8.3%
v 497
8.3%
i 497
8.3%
b 497
8.3%
e 497
8.3%
o 497
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8857
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 994
 
11.2%
l 994
 
11.2%
N 497
 
5.6%
t 497
 
5.6%
497
 
5.6%
A 497
 
5.6%
v 497
 
5.6%
i 497
 
5.6%
b 497
 
5.6%
e 497
 
5.6%
Other values (12) 2893
32.7%
Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size68.5 KiB
2023-12-09T20:55:52.513521image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.966
Min length6

Characters and Unicode

Total characters12966
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st rowNot Available
2nd rowNot Available
3rd rowNot Available
4th rowNot Available
5th rowNot Available
ValueCountFrequency (%)
not 995
49.9%
available 995
49.9%
2028.5 1
 
0.1%
10167.1 1
 
0.1%
8189.9 1
 
0.1%
6768.8 1
 
0.1%
3762.4 1
 
0.1%
2023-12-09T20:55:52.812746image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1990
15.3%
l 1990
15.3%
N 995
7.7%
t 995
7.7%
995
7.7%
A 995
7.7%
v 995
7.7%
i 995
7.7%
b 995
7.7%
e 995
7.7%
Other values (12) 1026
7.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9950
76.7%
Uppercase Letter 1990
 
15.3%
Space Separator 995
 
7.7%
Decimal Number 26
 
0.2%
Other Punctuation 5
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 5
19.2%
1 4
15.4%
6 4
15.4%
7 3
11.5%
2 3
11.5%
0 2
 
7.7%
9 2
 
7.7%
5 1
 
3.8%
3 1
 
3.8%
4 1
 
3.8%
Lowercase Letter
ValueCountFrequency (%)
a 1990
20.0%
l 1990
20.0%
t 995
10.0%
v 995
10.0%
i 995
10.0%
b 995
10.0%
e 995
10.0%
o 995
10.0%
Uppercase Letter
ValueCountFrequency (%)
N 995
50.0%
A 995
50.0%
Space Separator
ValueCountFrequency (%)
995
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11940
92.1%
Common 1026
 
7.9%

Most frequent character per script

Common
ValueCountFrequency (%)
995
97.0%
8 5
 
0.5%
. 5
 
0.5%
1 4
 
0.4%
6 4
 
0.4%
7 3
 
0.3%
2 3
 
0.3%
0 2
 
0.2%
9 2
 
0.2%
5 1
 
0.1%
Other values (2) 2
 
0.2%
Latin
ValueCountFrequency (%)
a 1990
16.7%
l 1990
16.7%
N 995
8.3%
t 995
8.3%
A 995
8.3%
v 995
8.3%
i 995
8.3%
b 995
8.3%
e 995
8.3%
o 995
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12966
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1990
15.3%
l 1990
15.3%
N 995
7.7%
t 995
7.7%
995
7.7%
A 995
7.7%
v 995
7.7%
i 995
7.7%
b 995
7.7%
e 995
7.7%
Other values (12) 1026
7.9%
Distinct550
Distinct (%)55.0%
Missing0
Missing (%)0.0%
Memory size78.2 KiB
2023-12-09T20:55:53.106739image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters23000
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique351 ?
Unique (%)35.1%

Sample

1st row2016-02-19T11:55:32.000
2nd row2016-02-19T11:11:11.000
3rd row2016-02-19T17:41:05.000
4th row2016-02-22T09:39:47.000
5th row2016-02-22T09:59:52.000
ValueCountFrequency (%)
2016-03-09t09:42:35.000 11
 
1.1%
2016-03-28t12:47:24.000 9
 
0.9%
2016-03-24t15:51:31.000 8
 
0.8%
2016-03-30t11:30:47.000 8
 
0.8%
2016-03-17t12:10:04.000 8
 
0.8%
2016-03-09t09:42:34.000 8
 
0.8%
2016-03-27t12:55:44.000 7
 
0.7%
2016-03-31t11:57:05.000 6
 
0.6%
2016-03-27t12:55:45.000 6
 
0.6%
2016-03-09t09:42:33.000 6
 
0.6%
Other values (540) 923
92.3%
2023-12-09T20:55:53.529000image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6096
26.5%
1 2935
12.8%
2 2330
 
10.1%
- 2000
 
8.7%
: 2000
 
8.7%
3 1742
 
7.6%
6 1307
 
5.7%
T 1000
 
4.3%
. 1000
 
4.3%
4 858
 
3.7%
Other values (4) 1732
 
7.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17000
73.9%
Other Punctuation 3000
 
13.0%
Dash Punctuation 2000
 
8.7%
Uppercase Letter 1000
 
4.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6096
35.9%
1 2935
17.3%
2 2330
 
13.7%
3 1742
 
10.2%
6 1307
 
7.7%
4 858
 
5.0%
5 730
 
4.3%
9 385
 
2.3%
7 363
 
2.1%
8 254
 
1.5%
Other Punctuation
ValueCountFrequency (%)
: 2000
66.7%
. 1000
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 2000
100.0%
Uppercase Letter
ValueCountFrequency (%)
T 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22000
95.7%
Latin 1000
 
4.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6096
27.7%
1 2935
13.3%
2 2330
 
10.6%
- 2000
 
9.1%
: 2000
 
9.1%
3 1742
 
7.9%
6 1307
 
5.9%
. 1000
 
4.5%
4 858
 
3.9%
5 730
 
3.3%
Other values (3) 1002
 
4.6%
Latin
ValueCountFrequency (%)
T 1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6096
26.5%
1 2935
12.8%
2 2330
 
10.1%
- 2000
 
8.7%
: 2000
 
8.7%
3 1742
 
7.6%
6 1307
 
5.7%
T 1000
 
4.3%
. 1000
 
4.3%
4 858
 
3.7%
Other values (4) 1732
 
7.5%
Distinct406
Distinct (%)40.6%
Missing0
Missing (%)0.0%
Memory size78.2 KiB
2023-12-09T20:55:53.849626image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters23000
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique291 ?
Unique (%)29.1%

Sample

1st row2016-02-19T11:57:04.000
2nd row2016-02-19T12:08:50.000
3rd row2016-02-19T17:43:58.000
4th row2016-02-22T09:40:24.000
5th row2016-02-22T10:00:34.000
ValueCountFrequency (%)
2016-03-09t09:47:09.000 43
 
4.3%
2016-03-27t13:02:19.000 27
 
2.7%
2016-03-28t12:47:57.000 26
 
2.6%
2016-03-17t12:11:10.000 25
 
2.5%
2016-03-23t11:38:01.000 25
 
2.5%
2016-03-22t10:52:49.000 21
 
2.1%
2016-03-14t10:26:09.000 18
 
1.8%
2016-03-30t11:32:49.000 17
 
1.7%
2016-03-14t11:58:11.000 16
 
1.6%
2016-03-24t11:41:58.000 16
 
1.6%
Other values (396) 766
76.6%
2023-12-09T20:55:54.282543image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6089
26.5%
1 3007
13.1%
2 2227
 
9.7%
- 2000
 
8.7%
: 2000
 
8.7%
3 1692
 
7.4%
6 1320
 
5.7%
T 1000
 
4.3%
. 1000
 
4.3%
4 848
 
3.7%
Other values (4) 1817
 
7.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17000
73.9%
Other Punctuation 3000
 
13.0%
Dash Punctuation 2000
 
8.7%
Uppercase Letter 1000
 
4.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6089
35.8%
1 3007
17.7%
2 2227
 
13.1%
3 1692
 
10.0%
6 1320
 
7.8%
4 848
 
5.0%
5 587
 
3.5%
9 452
 
2.7%
7 434
 
2.6%
8 344
 
2.0%
Other Punctuation
ValueCountFrequency (%)
: 2000
66.7%
. 1000
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 2000
100.0%
Uppercase Letter
ValueCountFrequency (%)
T 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22000
95.7%
Latin 1000
 
4.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6089
27.7%
1 3007
13.7%
2 2227
 
10.1%
- 2000
 
9.1%
: 2000
 
9.1%
3 1692
 
7.7%
6 1320
 
6.0%
. 1000
 
4.5%
4 848
 
3.9%
5 587
 
2.7%
Other values (3) 1230
 
5.6%
Latin
ValueCountFrequency (%)
T 1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6089
26.5%
1 3007
13.1%
2 2227
 
9.7%
- 2000
 
8.7%
: 2000
 
8.7%
3 1692
 
7.4%
6 1320
 
5.7%
T 1000
 
4.3%
. 1000
 
4.3%
4 848
 
3.7%
Other values (4) 1817
 
7.9%

borough
Text

MISSING 

Distinct5
Distinct (%)0.5%
Missing64
Missing (%)6.4%
Memory size61.2 KiB
2023-12-09T20:55:54.462404image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length9
Median length8
Mean length7.602564103
Min length5

Characters and Unicode

Total characters7116
Distinct characters18
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowBRONX
2nd rowSTATEN IS
3rd rowMANHATTAN
4th rowMANHATTAN
5th rowQUEENS
ValueCountFrequency (%)
manhattan 397
42.0%
brooklyn 217
23.0%
queens 161
17.0%
bronx 152
 
16.1%
staten 9
 
1.0%
is 9
 
1.0%
2023-12-09T20:55:54.762150image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 1333
18.7%
A 1200
16.9%
T 812
11.4%
O 586
8.2%
M 397
 
5.6%
H 397
 
5.6%
B 369
 
5.2%
R 369
 
5.2%
E 331
 
4.7%
Y 217
 
3.0%
Other values (8) 1105
15.5%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 7107
99.9%
Space Separator 9
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
N 1333
18.8%
A 1200
16.9%
T 812
11.4%
O 586
8.2%
M 397
 
5.6%
H 397
 
5.6%
B 369
 
5.2%
R 369
 
5.2%
E 331
 
4.7%
Y 217
 
3.1%
Other values (7) 1096
15.4%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7107
99.9%
Common 9
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 1333
18.8%
A 1200
16.9%
T 812
11.4%
O 586
8.2%
M 397
 
5.6%
H 397
 
5.6%
B 369
 
5.2%
R 369
 
5.2%
E 331
 
4.7%
Y 217
 
3.1%
Other values (7) 1096
15.4%
Common
ValueCountFrequency (%)
9
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7116
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 1333
18.7%
A 1200
16.9%
T 812
11.4%
O 586
8.2%
M 397
 
5.6%
H 397
 
5.6%
B 369
 
5.2%
R 369
 
5.2%
E 331
 
4.7%
Y 217
 
3.0%
Other values (8) 1105
15.5%

latitude
Text

MISSING 

Distinct925
Distinct (%)98.8%
Missing64
Missing (%)6.4%
Memory size62.4 KiB
2023-12-09T20:55:55.141948image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length9
Median length9
Mean length8.894230769
Min length6

Characters and Unicode

Total characters8325
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique914 ?
Unique (%)97.6%

Sample

1st row40.837532
2nd row40.637405
3rd row40.759432
4th row40.758684
5th row40.585783
ValueCountFrequency (%)
40.671272 2
 
0.2%
40.706397 2
 
0.2%
40.738761 2
 
0.2%
40.710918 2
 
0.2%
40.705486 2
 
0.2%
40.736123 2
 
0.2%
40.732946 2
 
0.2%
40.758534 2
 
0.2%
40.766613 2
 
0.2%
40.731839 2
 
0.2%
Other values (915) 916
97.9%
2023-12-09T20:55:55.651334image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 1451
17.4%
0 1258
15.1%
. 936
11.2%
7 922
11.1%
6 742
8.9%
8 653
7.8%
5 590
7.1%
3 506
 
6.1%
2 430
 
5.2%
1 426
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7389
88.8%
Other Punctuation 936
 
11.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 1451
19.6%
0 1258
17.0%
7 922
12.5%
6 742
10.0%
8 653
8.8%
5 590
8.0%
3 506
 
6.8%
2 430
 
5.8%
1 426
 
5.8%
9 411
 
5.6%
Other Punctuation
ValueCountFrequency (%)
. 936
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8325
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 1451
17.4%
0 1258
15.1%
. 936
11.2%
7 922
11.1%
6 742
8.9%
8 653
7.8%
5 590
7.1%
3 506
 
6.1%
2 430
 
5.2%
1 426
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8325
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 1451
17.4%
0 1258
15.1%
. 936
11.2%
7 922
11.1%
6 742
8.9%
8 653
7.8%
5 590
7.1%
3 506
 
6.1%
2 430
 
5.2%
1 426
 
5.1%

longitude
Text

MISSING 

Distinct930
Distinct (%)99.4%
Missing64
Missing (%)6.4%
Memory size63.3 KiB
2023-12-09T20:55:56.095517image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.897435897
Min length8

Characters and Unicode

Total characters9264
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique924 ?
Unique (%)98.7%

Sample

1st row-73.842448
2nd row-74.160722
3rd row-73.975415
4th row-73.961705
5th row-73.820357
ValueCountFrequency (%)
73.807356 2
 
0.2%
73.957368 2
 
0.2%
73.806672 2
 
0.2%
73.920393 2
 
0.2%
73.807883 2
 
0.2%
73.960171 2
 
0.2%
73.82317 1
 
0.1%
73.944223 1
 
0.1%
73.816988 1
 
0.1%
73.982193 1
 
0.1%
Other values (920) 920
98.3%
2023-12-09T20:55:56.592777image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 1492
16.1%
3 1328
14.3%
9 1110
12.0%
- 936
10.1%
. 936
10.1%
8 641
6.9%
4 534
 
5.8%
2 483
 
5.2%
5 461
 
5.0%
1 461
 
5.0%
Other values (2) 882
9.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7392
79.8%
Dash Punctuation 936
 
10.1%
Other Punctuation 936
 
10.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 1492
20.2%
3 1328
18.0%
9 1110
15.0%
8 641
8.7%
4 534
 
7.2%
2 483
 
6.5%
5 461
 
6.2%
1 461
 
6.2%
6 460
 
6.2%
0 422
 
5.7%
Dash Punctuation
ValueCountFrequency (%)
- 936
100.0%
Other Punctuation
ValueCountFrequency (%)
. 936
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9264
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 1492
16.1%
3 1328
14.3%
9 1110
12.0%
- 936
10.1%
. 936
10.1%
8 641
6.9%
4 534
 
5.8%
2 483
 
5.2%
5 461
 
5.0%
1 461
 
5.0%
Other values (2) 882
9.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9264
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 1492
16.1%
3 1328
14.3%
9 1110
12.0%
- 936
10.1%
. 936
10.1%
8 641
6.9%
4 534
 
5.8%
2 483
 
5.2%
5 461
 
5.0%
1 461
 
5.0%
Other values (2) 882
9.5%

community_board
Text

MISSING 

Distinct58
Distinct (%)6.2%
Missing64
Missing (%)6.4%
Memory size57.0 KiB
2023-12-09T20:55:56.852489image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters2808
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.3%

Sample

1st row210
2nd row501
3rd row105
4th row106
5th row414
ValueCountFrequency (%)
105 108
 
11.5%
108 45
 
4.8%
411 44
 
4.7%
309 41
 
4.4%
107 40
 
4.3%
314 40
 
4.3%
106 40
 
4.3%
112 37
 
4.0%
407 35
 
3.7%
208 35
 
3.7%
Other values (48) 471
50.3%
2023-12-09T20:55:57.221966image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 779
27.7%
0 719
25.6%
2 280
 
10.0%
4 274
 
9.8%
3 252
 
9.0%
5 155
 
5.5%
8 112
 
4.0%
7 112
 
4.0%
9 69
 
2.5%
6 56
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2808
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 779
27.7%
0 719
25.6%
2 280
 
10.0%
4 274
 
9.8%
3 252
 
9.0%
5 155
 
5.5%
8 112
 
4.0%
7 112
 
4.0%
9 69
 
2.5%
6 56
 
2.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2808
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 779
27.7%
0 719
25.6%
2 280
 
10.0%
4 274
 
9.8%
3 252
 
9.0%
5 155
 
5.5%
8 112
 
4.0%
7 112
 
4.0%
9 69
 
2.5%
6 56
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2808
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 779
27.7%
0 719
25.6%
2 280
 
10.0%
4 274
 
9.8%
3 252
 
9.0%
5 155
 
5.5%
8 112
 
4.0%
7 112
 
4.0%
9 69
 
2.5%
6 56
 
2.0%

council_district
Text

MISSING 

Distinct47
Distinct (%)5.0%
Missing64
Missing (%)6.4%
Memory size55.7 KiB
2023-12-09T20:55:59.782495image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length2
Mean length1.585470085
Min length1

Characters and Unicode

Total characters1484
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row13
2nd row49
3rd row4
4th row5
5th row32
ValueCountFrequency (%)
4 113
 
12.1%
3 70
 
7.5%
40 45
 
4.8%
11 44
 
4.7%
1 42
 
4.5%
23 42
 
4.5%
35 34
 
3.6%
5 32
 
3.4%
6 30
 
3.2%
7 29
 
3.1%
Other values (37) 455
48.6%
2023-12-09T20:56:00.112895image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 332
22.4%
1 292
19.7%
3 235
15.8%
2 176
11.9%
5 104
 
7.0%
0 93
 
6.3%
6 71
 
4.8%
9 71
 
4.8%
8 59
 
4.0%
7 51
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1484
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 332
22.4%
1 292
19.7%
3 235
15.8%
2 176
11.9%
5 104
 
7.0%
0 93
 
6.3%
6 71
 
4.8%
9 71
 
4.8%
8 59
 
4.0%
7 51
 
3.4%

Most occurring scripts

ValueCountFrequency (%)
Common 1484
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 332
22.4%
1 292
19.7%
3 235
15.8%
2 176
11.9%
5 104
 
7.0%
0 93
 
6.3%
6 71
 
4.8%
9 71
 
4.8%
8 59
 
4.0%
7 51
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1484
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 332
22.4%
1 292
19.7%
3 235
15.8%
2 176
11.9%
5 104
 
7.0%
0 93
 
6.3%
6 71
 
4.8%
9 71
 
4.8%
8 59
 
4.0%
7 51
 
3.4%

census_tract
Text

MISSING 

Distinct394
Distinct (%)42.1%
Missing64
Missing (%)6.4%
Memory size57.2 KiB
2023-12-09T20:56:00.637391image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.228632479
Min length1

Characters and Unicode

Total characters3022
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique195 ?
Unique (%)20.8%

Sample

1st row96
2nd row31902
3rd row102
4th row10601
5th row94201
ValueCountFrequency (%)
152902 25
 
2.7%
152901 16
 
1.7%
122701 14
 
1.5%
9 11
 
1.2%
76 10
 
1.1%
7 10
 
1.1%
124 10
 
1.1%
82 9
 
1.0%
84 9
 
1.0%
90 8
 
0.9%
Other values (384) 814
87.0%
2023-12-09T20:56:01.295753image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 591
19.6%
2 476
15.8%
0 339
11.2%
9 307
10.2%
3 285
9.4%
5 273
9.0%
7 223
 
7.4%
4 192
 
6.4%
8 173
 
5.7%
6 163
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3022
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 591
19.6%
2 476
15.8%
0 339
11.2%
9 307
10.2%
3 285
9.4%
5 273
9.0%
7 223
 
7.4%
4 192
 
6.4%
8 173
 
5.7%
6 163
 
5.4%

Most occurring scripts

ValueCountFrequency (%)
Common 3022
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 591
19.6%
2 476
15.8%
0 339
11.2%
9 307
10.2%
3 285
9.4%
5 273
9.0%
7 223
 
7.4%
4 192
 
6.4%
8 173
 
5.7%
6 163
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3022
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 591
19.6%
2 476
15.8%
0 339
11.2%
9 307
10.2%
3 285
9.4%
5 273
9.0%
7 223
 
7.4%
4 192
 
6.4%
8 173
 
5.7%
6 163
 
5.4%

nta
Text

MISSING 

Distinct134
Distinct (%)14.3%
Missing64
Missing (%)6.4%
Memory size74.0 KiB
2023-12-09T20:56:01.672805image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length56
Median length40
Mean length21.59615385
Min length7

Characters and Unicode

Total characters20214
Distinct characters54
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)3.2%

Sample

1st rowWestchester-Unionport
2nd rowMariner's Harbor-Arlington-Port Ivory-Graniteville
3rd rowMidtown-Midtown South
4th rowTurtle Bay-East Midtown
5th rowBreezy Point-Belle Harbor-Rockaway Park-Broad Channel
ValueCountFrequency (%)
south 133
 
6.0%
heights 96
 
4.3%
midtown-midtown 74
 
3.3%
west 64
 
2.9%
east 59
 
2.7%
park 54
 
2.4%
square 49
 
2.2%
north 49
 
2.2%
neck 41
 
1.8%
manor-douglaston-little 41
 
1.8%
Other values (186) 1565
70.3%
2023-12-09T20:56:02.195911image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 1595
 
7.9%
e 1527
 
7.6%
o 1416
 
7.0%
1289
 
6.4%
n 1242
 
6.1%
a 1214
 
6.0%
i 1212
 
6.0%
r 1089
 
5.4%
s 1063
 
5.3%
l 961
 
4.8%
Other values (44) 7606
37.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 15244
75.4%
Uppercase Letter 2963
 
14.7%
Space Separator 1289
 
6.4%
Dash Punctuation 702
 
3.5%
Other Punctuation 12
 
0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 1595
10.5%
e 1527
10.0%
o 1416
9.3%
n 1242
 
8.1%
a 1214
 
8.0%
i 1212
 
8.0%
r 1089
 
7.1%
s 1063
 
7.0%
l 961
 
6.3%
h 599
 
3.9%
Other values (15) 3326
21.8%
Uppercase Letter
ValueCountFrequency (%)
H 386
13.0%
M 368
12.4%
S 304
10.3%
C 241
 
8.1%
B 200
 
6.7%
W 174
 
5.9%
P 168
 
5.7%
L 156
 
5.3%
F 136
 
4.6%
N 110
 
3.7%
Other values (13) 720
24.3%
Other Punctuation
ValueCountFrequency (%)
. 11
91.7%
' 1
 
8.3%
Space Separator
ValueCountFrequency (%)
1289
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 702
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 18207
90.1%
Common 2007
 
9.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 1595
 
8.8%
e 1527
 
8.4%
o 1416
 
7.8%
n 1242
 
6.8%
a 1214
 
6.7%
i 1212
 
6.7%
r 1089
 
6.0%
s 1063
 
5.8%
l 961
 
5.3%
h 599
 
3.3%
Other values (38) 6289
34.5%
Common
ValueCountFrequency (%)
1289
64.2%
- 702
35.0%
. 11
 
0.5%
( 2
 
0.1%
) 2
 
0.1%
' 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20214
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 1595
 
7.9%
e 1527
 
7.6%
o 1416
 
7.0%
1289
 
6.4%
n 1242
 
6.1%
a 1214
 
6.0%
i 1212
 
6.0%
r 1089
 
5.4%
s 1063
 
5.3%
l 961
 
4.8%
Other values (44) 7606
37.6%